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publications [2020/07/20 17:49]
shyam [Journal papers and conference proceedings] 		publications [2020/12/26 13:15]
shyam
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 ===== Journal papers and conference proceedings ===== ===== Journal papers and conference proceedings =====
  
-**100. Semi-supervised hierarchical drug embedding in hyperbolic space**. \\+**106. The National COVID Cohort Collaborative (N3C) Rationale, design, infrastructure, and deployment**. \\ 
 +// Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J,  Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, __Visweswaran S__, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR, N3C Consortium//. \\ 
 +JAMIA. 2020. \\ 
 +([[https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocaa196/5893482|abstract & paper]]) 
 + 
 +**105. Hyperbolic molecular representation learning for drug repositioning**. \\
 // Yu K, __Visweswaran S__, Batmanghelich K//. \\ // Yu K, __Visweswaran S__, Batmanghelich K//. \\
-arXiv preprint arXiv:2006.00986, 2020. \\ +Machine Learning for Molecules 2020 workshop at NeurIPS 2020. \\ 
-([[https://arxiv.org/abs/2006.00986|abstract & paper]])+([[https://ml4molecules.github.io/papers2020/ML4Molecules_2020_paper_8.pdf|abstract & paper]]) 
 + 
 +**104. Patient-specific modeling with personalized decision paths**. \\ 
 +// Johnson A, Cooper GF, Visweswaran S. \\ 
 +Virtual AMIA Fall Symposium. November 2020. \\ 
 + 
 +**103. Semi-supervised hierarchical drug embedding in hyperbolic space**. \\ 
 +// Yu K, __Visweswaran S__, Batmanghelich K//. \\ 
 +Journal of Chemical Information and Modeling. 2020. \\ 
 +([[https://pubs.acs.org/doi/abs/10.1021/acs.jcim.0c00681|abstract]]) 
 + 
 +**102. How high-risk comorbidities co-occur in readmitted patients with hip fracture: Big data visual analytical approach**. \\ 
 +// Bhavnani SK, Dang B, Penton R, __Visweswaran S__, Bassler KE, Chen T, Raji M, Divekar R, Zuhour R, Karmarkar A, Kuo Y-F, Ottenbacher KJ//. \\ 
 +JMIR Medical Informatics. 2020;8(10):e13567. \\ 
 +([[https://medinform.jmir.org/2020/10/e13567/|paper]]) 
 + 
 +**101. Exploring novel graphical presentations of clinical data in a Learning Electronic Medical Record**. \\ 
 +// Calzoni L, Clermont G, Cooper GF, __Visweswaran S__, Hochheiser H//. \\ 
 +Applied Clinical Informatics, 11 (2020) 680-691. \\ 
 +([[https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0040-1709707|abstract]]) 
 + 
 +**100. Machine learning classifiers for Twitter surveillance of vaping: Comparative machine learning study**. \\ 
 +// __Visweswaran S__, Colditz JB, O’Halloran P, Han NR, Taneja SB, Welling J, Chu KH, Sidani JE, Primack BA//. \\ 
 +Journal of Medical Internet Research. 2020;22(8):e17478. \\ 
 +([[https://www.jmir.org/2020/8/e17478/|paper]])
  
 **99. Leveraging eye tracking to prioritize relevant medical record data: Comparative machine learning study**. \\ **99. Leveraging eye tracking to prioritize relevant medical record data: Comparative machine learning study**. \\
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 **84. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\ **84. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\
-//Bhavnani, SK, __Visweswaran, S__, Divekar, R//. \\+//Bhavnani SK, __Visweswaran S__, Divekar R//. \\
 In: Science of Team Science (SciTS) Conference. 2018 May 21-24. \\ In: Science of Team Science (SciTS) Conference. 2018 May 21-24. \\
 (//Outstanding Paper Award at the Science of Team Science (SciTS) Conference, 2018//) \\ (//Outstanding Paper Award at the Science of Team Science (SciTS) Conference, 2018//) \\
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 **83. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\ **83. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\
-//Tajgardoon, M, Wagner, MM, __Visweswaran, S__, Zimmerman, RK//. \\+//Tajgardoon M, Wagner MM, __Visweswaran S__, Zimmerman RK//. \\
 In: AMIA Informatics Summit Proceedings. 2018 Mar 12-15. \\ In: AMIA Informatics Summit Proceedings. 2018 Mar 12-15. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Informatics Summit Clinical Research Informatics, 2018//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Informatics Summit Clinical Research Informatics, 2018//) \\
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 **82. Fast causal inference with non-random missingness by test-wise deletion**. \\ **82. Fast causal inference with non-random missingness by test-wise deletion**. \\
-//Strobl, EV, __Visweswaran, S__, Spirtes, PL//. \\+//Strobl EV, __Visweswaran S__, Spirtes PL//. \\
 International Journal of Data Science and Analytics. 2018 Aug; 6(1):47-62. \\ International Journal of Data Science and Analytics. 2018 Aug; 6(1):47-62. \\
 ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]]) ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]])
  
 **81. Translational bioinformatics in mental health: Open access data sources and computational biomarker discovery**. \\ **81. Translational bioinformatics in mental health: Open access data sources and computational biomarker discovery**. \\
-//Tenenbaum, JD, Bhuvaneshwar, K, Gagliardi, JP, Hollis, KF, Jia, P, Ma, L, Nagarajan, R, Rakesh, G, Subbian, V, __Visweswaran, S__, Zhao, Z, Rozenblit, L//. \\+//Tenenbaum JD, Bhuvaneshwar K, Gagliardi JP, Hollis KF, Jia P, Ma L, Nagarajan R, Rakesh G, Subbian V, __Visweswaran S__, Zhao Z, Rozenblit L//. \\
 Briefings in Bioinformatics. 2019 May 21;20(3):842-856. \\ Briefings in Bioinformatics. 2019 May 21;20(3):842-856. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/29186302|abstract]]) ([[http://dx.doi.org/10.1093/bib/bbx157|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/29186302|abstract]]) ([[http://dx.doi.org/10.1093/bib/bbx157|paper]])
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 **79. Automated annotation and classification of BI-RADS assessment from radiology reports**. \\ **79. Automated annotation and classification of BI-RADS assessment from radiology reports**. \\
-//Castro, SM, Tseytlin, E, Medvedeva, O, Mitchell, K, __Visweswaran, S__, Bekhuis, T, Jacobson, RS//. \\+//Castro SM, Tseytlin E, Medvedeva O, Mitchell K, __Visweswaran S__, Bekhuis T, Jacobson RS//. \\
 Journal of Biomedical Informatics. 2017 May;69:177-187. \\ Journal of Biomedical Informatics. 2017 May;69:177-187. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28428140|abstract]]) ([[http://dx.doi.org/10.1016/j.jbi.2017.04.011|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28428140|abstract]]) ([[http://dx.doi.org/10.1016/j.jbi.2017.04.011|paper]])
  
 **78. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\ **78. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\
-//Culbertson, A, Goel, S, Madden, M, Safaeinili, N, Jackson, KL, Carton, T, Waitman, R, Liu, M, Krishnamurthy, A, Hall, L, Cappella, N, __Visweswaran, S__, Becich, MJ, Applegate, R, Bernstam, E, Rothman, R, Matheny, M, Lipori, G, Bian, J, Hogan, W, Bell, D, Martin, A, Grannis, S, Klann, J, Sutphen, R, O'Hara, AB, Kho, A//. \\+//Culbertson A, Goel S, Madden M, Safaeinili N, Jackson KL, Carton T, Waitman R, Liu M, Krishnamurthy A, Hall L, Cappella N, __Visweswaran S__, Becich MJ, Applegate R, Bernstam E, Rothman R, Matheny M, Lipori G, Bian J, Hogan W, Bell D, Martin A, Grannis S, Klann J, Sutphen R, O'Hara AB, Kho A//. \\
 Applied Clinical Informatics. 2017 Apr 5;8(2):322-336. \\ Applied Clinical Informatics. 2017 Apr 5;8(2):322-336. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28378025|abstract]]) ([[http://dx.doi.org/10.4338/ACI-2016-11-RA-0196|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28378025|abstract]]) ([[http://dx.doi.org/10.4338/ACI-2016-11-RA-0196|paper]])
  
 **77. Enabling comprehension of patient subgroups and characteristics in large bipartite networks: Implications for precision medicine**. \\ **77. Enabling comprehension of patient subgroups and characteristics in large bipartite networks: Implications for precision medicine**. \\
-//Bhavnani, SK, Chen, T, Ayyaswamy, A, __Visweswaran, S__, Bellala, G, Divekar, R, Bassler, KE//. \\+//Bhavnani SK, Chen T, Ayyaswamy A, __Visweswaran S__, Bellala G, Divekar R, Bassler KE//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:21-29. \\ In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:21-29. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28815099|abstract]]) ({{papers:2017_enabling_comprehension_of_patient_subgroups_and_characteristics_in_large_bipartite_networks_implications_for_precision_medicine.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/28815099|abstract]]) ({{papers:2017_enabling_comprehension_of_patient_subgroups_and_characteristics_in_large_bipartite_networks_implications_for_precision_medicine.pdf|paper}})
  
 **76. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR**. \\ **76. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR**. \\
-//King, AJ, Hochheiser, H, __Visweswaran, S__, Clermont, G, Cooper, GF//. \\+//King AJ, Hochheiser H, __Visweswaran S__, Clermont G, Cooper GF//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:512-21. \\ In: AMIA Joint Summits Translational Science Proceedings. 2017 Mar 27-30; 2017:512-21. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Joint Summits Clinical Research Informatics, 2017//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Joint Summits Clinical Research Informatics, 2017//) \\
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 **75. Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure**. \\ **75. Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure**. \\
-//Lustgarten, JL, Balasubramanian, JB, __Visweswaran, S__, Gopalakrishnan, V//. \\+//Lustgarten JL, Balasubramanian JB, __Visweswaran S__, Gopalakrishnan V//. \\
 Data. 2017 Mar;2(1). \\ Data. 2017 Mar;2(1). \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27720983|abstract]]) ([[http://dx.doi.org/10.3390/data2010005|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/27720983|abstract]]) ([[http://dx.doi.org/10.3390/data2010005|paper]])
  
 **74. Outlier-based detection of unusual patient-management actions: An ICU study**. \\ **74. Outlier-based detection of unusual patient-management actions: An ICU study**. \\
-//Hauskrecht, M, Batal, I, Hong, C, Cooper, GF, __Viswewaran, S__, Clermont, G//. \\+//Hauskrecht M, Batal I, Hong C, Cooper GF, __Viswewaran S__, Clermont G//. \\
 Journal of Biomedical Informatics. 2016 Dec;64:211-221. \\ Journal of Biomedical Informatics. 2016 Dec;64:211-221. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28331847|abstract]]) ([[http://doi.org/10.1016/j.jbi.2016.10.002|paper]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/28331847|abstract]]) ([[http://doi.org/10.1016/j.jbi.2016.10.002|paper]])
  
 **73. An informatics research agenda to support precision medicine: 7 key areas**. \\ **73. An informatics research agenda to support precision medicine: 7 key areas**. \\
-//Tenenbaum, JD, Avillach, P, Benham-Hutchins, M, Breitenstein, MK, Crowgey, EL, Hoffman, MA, Jiang, X, Madhavan, S, Mattison, JE, Radhakrishnan, N, Ray, B, Shin, D, __Visweswaran, S__, Zhao, Z, Freimuth, RR//. \\+//Tenenbaum JD, Avillach P, Benham-Hutchins M, Breitenstein MK, Crowgey EL, Hoffman MA, Jiang X, Madhavan S, Mattison JE, Radhakrishnan N, Ray B, Shin D, __Visweswaran S__, Zhao Z, Freimuth RR//. \\
 Journal of the American Medical Informatics Association. 2016 Jul;23(4):791-5. \\ Journal of the American Medical Informatics Association. 2016 Jul;23(4):791-5. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27107452|abstract]]) ({{papers:2016_an_informatics_research_agenda_to_support_precision_medicine_seven_key_areas.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/27107452|abstract]]) ({{papers:2016_an_informatics_research_agenda_to_support_precision_medicine_seven_key_areas.pdf|paper}})
  
 **72. On predicting lung cancer subtypes using ‘omic’data from tumor and tumor-adjacent histologically-normal tissue**. \\ **72. On predicting lung cancer subtypes using ‘omic’data from tumor and tumor-adjacent histologically-normal tissue**. \\
-//Pineda, AL, Ogoe, HA, Balasubramanian, JB, Escareño, CR, __Visweswaran, S__, Herman, JG, Gopalakrishnan, V//. \\+//Pineda AL, Ogoe HA, Balasubramanian JB, Escareño CR, __Visweswaran S__, Herman JG, Gopalakrishnan V//. \\
 BMC Cancer. 2016 Mar 4;16(1):184. \\ BMC Cancer. 2016 Mar 4;16(1):184. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26944944|abstract]]) ({{papers:2016_on_predicting_lung_cancer_subtypes_using_omic_data_from_tumor_and_tumor-adjacent_histologically-normal_tissue.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26944944|abstract]]) ({{papers:2016_on_predicting_lung_cancer_subtypes_using_omic_data_from_tumor_and_tumor-adjacent_histologically-normal_tissue.pdf|paper}})
  
 **71. Markov boundary discovery with ridge regularized linear models**. \\ **71. Markov boundary discovery with ridge regularized linear models**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 Journal of Causal Inference. 2016 Mar; 4(1):31-48. \\ Journal of Causal Inference. 2016 Mar; 4(1):31-48. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/27170915|abstract]]) ({{papers:2016_markov_boundary_discovery_with_ridge_regularized_linear_models.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/27170915|abstract]]) ({{papers:2016_markov_boundary_discovery_with_ridge_regularized_linear_models.pdf|paper}})
  
 **70. Development and preliminary evaluation of a prototype of a learning electronic medical record system**. \\ **70. Development and preliminary evaluation of a prototype of a learning electronic medical record system**. \\
-//King, AJ, Cooper, GF, Hochheiser, H, Clermont, G, __Visweswaran, S__//. \\+//King AJ, Cooper GF, Hochheiser H, Clermont G, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2015 Nov 17; 2015:1967-75. \\ In: AMIA Annual Symposium Proceedings. 2015 Nov 17; 2015:1967-75. \\
 (//Awarded First Place in the Student Paper Competition at the AMIA Annual Symposium, 2015//) \\ (//Awarded First Place in the Student Paper Competition at the AMIA Annual Symposium, 2015//) \\
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 **69. Comparison of machine learning classifiers for influenza detection from emergency department free text reports**. \\ **69. Comparison of machine learning classifiers for influenza detection from emergency department free text reports**. \\
-//Pineda, AL, Ye, Y, __Visweswaran, S__, Cooper, GF, Wagner, MM, Tsui, FC//. \\+//Pineda AL, Ye Y, __Visweswaran S__, Cooper GF, Wagner MM, Tsui FC//. \\
 Journal of Biomedical Informatics. 2015 Sep 16. pii: S1532-0464(15)00187-2. \\ Journal of Biomedical Informatics. 2015 Sep 16. pii: S1532-0464(15)00187-2. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26385375|abstract]]) ({{papers:2015_comparison_of_machine_learning_classifiers_for_influenza_detection_from_emergency_department_free-text_reports.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26385375|abstract]]) ({{papers:2015_comparison_of_machine_learning_classifiers_for_influenza_detection_from_emergency_department_free-text_reports.pdf|paper}})
  
 **68. Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data**. \\ **68. Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data**. \\
-//Ogoe, HA, __Visweswaran, S__, Lu, X, Gopalakrishnan, V//. \\+//Ogoe HA, __Visweswaran S__, Lu X, Gopalakrishnan V//. \\
 BMC Bioinformatics. 2015 Jul 23; 16:226. \\ BMC Bioinformatics. 2015 Jul 23; 16:226. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26202217|abstract]]) ({{papers:2015_knowledge_transfer_via_classification_rules_using_functional_mapping_for_integrative_modeling_of_gene_expression_data.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26202217|abstract]]) ({{papers:2015_knowledge_transfer_via_classification_rules_using_functional_mapping_for_integrative_modeling_of_gene_expression_data.pdf|paper}})
  
 **67. Patient-specific modeling of medical data**. \\ **67. Patient-specific modeling of medical data**. \\
-//Ribeiro, GAS, Oliveira, ACM, Ferreira, ALS, __Visweswaran, S__, Cooper, GF//. \\+//Ribeiro GAS, Oliveira ACM, Ferreira ALS, __Visweswaran S__, Cooper GF//. \\
 In: Proceedings of the Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015. Hamburg, Germany, Jul 20-21, 2015. \\ In: Proceedings of the Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015. Hamburg, Germany, Jul 20-21, 2015. \\
 ({{papers:2015_patient-specific_modeling_of_medical_data.pdf|paper}}) ({{papers:2015_patient-specific_modeling_of_medical_data.pdf|paper}})
  
 **66. Personalized modeling for prediction with decision-path models**. \\ **66. Personalized modeling for prediction with decision-path models**. \\
-//__Visweswaran, S__, Ferreira, A, Cooper, GF//. \\+//__Visweswaran S__, Ferreira A, Cooper, GF//. \\
 PLoS One. 2015 Jun 22;10(6):e0131022. \\ PLoS One. 2015 Jun 22;10(6):e0131022. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26098570|abstract]]) ({{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26098570|abstract]]) ({{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|paper}})
  
 **65. KNGP: A network-based gene prioritization algorithm that incorporates multiple sources of knowledge**. \\ **65. KNGP: A network-based gene prioritization algorithm that incorporates multiple sources of knowledge**. \\
-//Kimmel, C, __Visweswaran, S__//. \\+//Kimmel C, __Visweswaran S__//. \\
 American Journal of Bioinformatics and Computational Biology. 2015 Apr 25; 3(1):1-4. \\ American Journal of Bioinformatics and Computational Biology. 2015 Apr 25; 3(1):1-4. \\
 ({{papers:2015_kngp_a_network-based_gene_prioritization_algorithm_that_incorporates_multiple_sources_of_knowledge.pdf|paper}}) ({{papers:2015_kngp_a_network-based_gene_prioritization_algorithm_that_incorporates_multiple_sources_of_knowledge.pdf|paper}})
  
 **64. How comorbidities co-occur in readmitted hip fracture patients: From bipartite networks to insights for post-discharge planning**. \\ **64. How comorbidities co-occur in readmitted hip fracture patients: From bipartite networks to insights for post-discharge planning**. \\
-//Bhavnani, SK, Bryant, D, __Visweswaran, S__, Divekar, R, Karmarkar, A, Ottenbacher, K//. \\+//Bhavnani SK, Bryant D, __Visweswaran S__, Divekar R, Karmarkar A, Ottenbacher K//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2015 Mar 23; 2015. \\ In: AMIA Joint Summits Translational Science Proceedings. 2015 Mar 23; 2015. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/26306228|abstract]]) ({{papers:2015_how_comorbidities_co-occur_in_readmitted_hip_fracture_patients_from_bipartite_networks_to_insights_for_post-discharge_planning.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26306228|abstract]]) ({{papers:2015_how_comorbidities_co-occur_in_readmitted_hip_fracture_patients_from_bipartite_networks_to_insights_for_post-discharge_planning.pdf|paper}})
  
 **63. Unlocking proteomic heterogeneity in complex diseases through visual analytics**. \\ **63. Unlocking proteomic heterogeneity in complex diseases through visual analytics**. \\
-//Bhavnani, SK, Dang, B, Bellala, G, Divekar, R, __Visweswaran, S__, Brasier, A, Kurosky, A//. \\+//Bhavnani SK, Dang B, Bellala G, Divekar R, __Visweswaran S__, Brasier A, Kurosky A//. \\
 Proteomics. 2015 Feb 13; 15(8):1405-18. \\ Proteomics. 2015 Feb 13; 15(8):1405-18. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25684269|abstract]]) ({{papers:2015_unlocking_proteomic_heterogeneity_in_complex_diseases_through_visual_analytics.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25684269|abstract]]) ({{papers:2015_unlocking_proteomic_heterogeneity_in_complex_diseases_through_visual_analytics.pdf|paper}})
  
 **62. Identifying genetic interactions associated with late-onset Alzheimer's disease**. \\ **62. Identifying genetic interactions associated with late-onset Alzheimer's disease**. \\
-//Floudas, CS, Kamboh, MI, Barmada, MM, __Visweswaran S__//. \\+//Floudas CS, Kamboh MI, Barmada MM, __Visweswaran S__//. \\
 BioData Mining. 2014 Dec 19; 7(1):35. \\ BioData Mining. 2014 Dec 19; 7(1):35. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25649863|abstract]]) ({{papers:2014_identifying_genetic_interactions_associated_with_late-onset_alzheimers_disease.pdf|paper}}) \\ ([[http://www.ncbi.nlm.nih.gov/pubmed/25649863|abstract]]) ({{papers:2014_identifying_genetic_interactions_associated_with_late-onset_alzheimers_disease.pdf|paper}}) \\
  
 **61. Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids**. \\ **61. Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids**. \\
-//Jordan, R, __Visweswaran S__, Gopalakrishnan, V//. \\+//Jordan R, __Visweswaran S__, Gopalakrishnan V//. \\
 Journal of Clinical Bioinformatics. 2014 Oct 23;4:13. \\ Journal of Clinical Bioinformatics. 2014 Oct 23;4:13. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25379168|abstract]]) ({{papers:2014_semi-automated_literature_mining_to_identify_putative_biomarkers_of_disease_from_multiple_biofluids.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25379168|abstract]]) ({{papers:2014_semi-automated_literature_mining_to_identify_putative_biomarkers_of_disease_from_multiple_biofluids.pdf|paper}})
  
 **60. Evaluation of a four-protein biomarker panel for detection of esophageal adenocarcinoma**. \\ **60. Evaluation of a four-protein biomarker panel for detection of esophageal adenocarcinoma**. \\
-//Zaidi, AH, Gopalakrishnan, V, Kasi, PM, Malhotra, U, Balasubramanian, J, __Visweswaran S__, Zeng, X, Sun, M, Bergman, JJ, Bigbee, WL, Jobe, BA//. \\+//Zaidi AH, Gopalakrishnan V, Kasi PM, Malhotra U, Balasubramanian J, __Visweswaran S__, Zeng X, Sun M, Bergman JJ, Bigbee WL, Jobe BA//. \\
 Cancer. 2014 Dec 15; 120(24):3902-13. \\ Cancer. 2014 Dec 15; 120(24):3902-13. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25100294|abstract]]) ({{papers:2014_evaluation_of_a_four-protein_biomarker_panel_for_detection_of_esophageal_adenocarcinoma.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25100294|abstract]]) ({{papers:2014_evaluation_of_a_four-protein_biomarker_panel_for_detection_of_esophageal_adenocarcinoma.pdf|paper}})
  
 **59. Informative Bayesian Model Selection: A method for identifying interactions in genome-wide data**. \\ **59. Informative Bayesian Model Selection: A method for identifying interactions in genome-wide data**. \\
-//Aflakparast, M, Masoudi-Nejad, A, Bozorgmehr, JH, __Visweswaran S__//. \\+//Aflakparast M, Masoudi-Nejad A, Bozorgmehr JH, __Visweswaran S__//. \\
 Molecular BioSystems, 2014 Aug;10(10):2654-62. \\ Molecular BioSystems, 2014 Aug;10(10):2654-62. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25070634|abstract]]) ({{papers:2014_informative_bayesian_model_selection_a_method_for_identifying_interactions_in_genome-wide_data.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25070634|abstract]]) ({{papers:2014_informative_bayesian_model_selection_a_method_for_identifying_interactions_in_genome-wide_data.pdf|paper}})
  
 **58. Dependence versus conditional dependence in local causal discovery from gene expression data**. \\ **58. Dependence versus conditional dependence in local causal discovery from gene expression data**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 arXiv preprint arXiv:1407.7566, 2014. \\ arXiv preprint arXiv:1407.7566, 2014. \\
 ([[https://arxiv.org/abs/1407.7566|abstract & paper]]) ([[https://arxiv.org/abs/1407.7566|abstract & paper]])
  
 **57. Cuckoo search epistasis: A new method for exploring significant genetic interactions**. \\ **57. Cuckoo search epistasis: A new method for exploring significant genetic interactions**. \\
-//Aflakparast, M, Salimi, H, Gerami, A, Dube, M-P, __Visweswaran S__, Masoudi-Nejad, A//. \\+//Aflakparast M, Salimi H, Gerami A, Dube M-P, __Visweswaran S__, Masoudi-Nejad A//. \\
 Heredity. 2014 Jun;112(6):666-74. \\ Heredity. 2014 Jun;112(6):666-74. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/24549111|abstract]]) ({{papers:2014_cuckoo_search_epistasis_a_new_method_for_exploring_significant_genetic_interactions.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/24549111|abstract]]) ({{papers:2014_cuckoo_search_epistasis_a_new_method_for_exploring_significant_genetic_interactions.pdf|paper}})
  
 **56. Counting Markov blankets**. \\ **56. Counting Markov blankets**. \\
-//__Visweswaran, S__, Cooper, GF//. \\+//__Visweswaran S__, Cooper GF//. \\
 arXiv preprint arXiv:1407.2483, 2014. \\ arXiv preprint arXiv:1407.2483, 2014. \\
 ([[https://arxiv.org/abs/1407.2483|abstract & paper]]) ([[https://arxiv.org/abs/1407.2483|abstract & paper]])
  
 **55. The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data**. \\ **55. The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data**. \\
-//Stokes, ME, Barmada, MM, Kamboh, MI, __Visweswaran S__//. \\+//Stokes ME, Barmada MM, Kamboh MI, __Visweswaran S__//. \\
 BMC Genomics. 2014 Apr 14;15(1):282. \\ BMC Genomics. 2014 Apr 14;15(1):282. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/24731236|abstract]]) ({{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|abstract}}) \\ ([[http://www.ncbi.nlm.nih.gov/pubmed/24731236|abstract]]) ({{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|abstract}}) \\
  
 **54. Selective model averaging with Bayesian rule learning for predictive biomedicine**. \\ **54. Selective model averaging with Bayesian rule learning for predictive biomedicine**. \\
-//Balasubramanian, JB, __Visweswaran S__, Cooper, GF, Gopalakrishnan, V//. \\+//Balasubramanian JB, __Visweswaran S__, Cooper GF, Gopalakrishnan V//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2014 Apr 7; 2014:17-22. \\ In: AMIA Joint Summits Translational Science Proceedings. 2014 Apr 7; 2014:17-22. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25717394|abstract]]) ({{papers:2014_selective_model_averaging_with_bayesian_rule_learning_for_predictive_biomedicine.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25717394|abstract]]) ({{papers:2014_selective_model_averaging_with_bayesian_rule_learning_for_predictive_biomedicine.pdf|paper}})
  
 **53. Heterogeneity within and across pediatric pulmonary infections: From bipartite networks to at-risk subphenotypes**. \\ **53. Heterogeneity within and across pediatric pulmonary infections: From bipartite networks to at-risk subphenotypes**. \\
-//Bhavnani, SK, Dang, B, Caro, M, Bellala, G, __Visweswaran S__, Asuncion, M, Divekar, R//. \\+//Bhavnani SK, Dang B, Caro M, Bellala G, __Visweswaran S__, Asuncion M, Divekar R//. \\
 In: AMIA Joint Summits Translational Science Proceedings (Apr 2014). 2014 Apr 7; 2014:29-34. \\ In: AMIA Joint Summits Translational Science Proceedings (Apr 2014). 2014 Apr 7; 2014:29-34. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25717396|abstract]]) ({{papers:2014_heterogeneity_within_and_across_pediatric_pulmonary_infections_from_bipartite_networks_to_at-risk_subphenotypes.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/25717396|abstract]]) ({{papers:2014_heterogeneity_within_and_across_pediatric_pulmonary_infections_from_bipartite_networks_to_at-risk_subphenotypes.pdf|paper}})
  
 **52. Markov blanket discovery using kernel-based conditional dependence measures**. \\ **52. Markov blanket discovery using kernel-based conditional dependence measures**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. 2013 Dec. In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. 2013 Dec.
  
 **51. Deep multiple kernel learning**. \\ **51. Deep multiple kernel learning**. \\
-//Strobl, EV, __Visweswaran, S__//. \\+//Strobl EV, __Visweswaran S__//. \\
 In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17. In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17.
  
 **50. An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links**. \\ **50. An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links**. \\
-//Kimmel, C, __Visweswaran, S__//. \\+//Kimmel C, __Visweswaran S__//. \\
 PLoS One. 2013 Nov 19; 8(11):e79564. PLoS One. 2013 Nov 19; 8(11):e79564.
  
 **49. Data-driven identification of unusual clinical actions in the ICU**. \\ **49. Data-driven identification of unusual clinical actions in the ICU**. \\
-//Hauskrecht, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013. In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013.
  
 **48. Decision path models for patient-specific modeling of patient outcomes**. \\ **48. Decision path models for patient-specific modeling of patient outcomes**. \\
-//Ferreira, A, Cooper, GF, __Visweswaran, S__//. \\+//Ferreira A, Cooper GF, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013:413-21. In: AMIA Annual Symposium Proceedings. 2013 Nov 16; 2013:413-21.
  
 **47. Conditional outlier approach for detection of unusual patient care actions**. \\ **47. Conditional outlier approach for detection of unusual patient care actions**. \\
-//Hauskrecht, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. 2013 Jul 14; 2013. In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. 2013 Jul 14; 2013.
  
 **46. Detection of patients with influenza syndrome using machine-learning models learned from Emergency Department reports**. \\ **46. Detection of patients with influenza syndrome using machine-learning models learned from Emergency Department reports**. \\
-//Pineda AL, Tsui FC, __Visweswaran, S__, Cooper GF//. \\+//Pineda AL, Tsui FC, __Visweswaran S__, Cooper GF//. \\
 Online Journal of Public Health Informatics. 2013 Apr 4; 5(1):e41. Online Journal of Public Health Informatics. 2013 Apr 4; 5(1):e41.
  
 **45. How cytokines co-occur across rickettsioses patients: From bipartite visual analytics to mechanistic inferences of a cytokine storm**. \\ **45. How cytokines co-occur across rickettsioses patients: From bipartite visual analytics to mechanistic inferences of a cytokine storm**. \\
-//Bhavnani, SK, Drake, J, Bellala, G, Dang, B, Peng, B, Oteo, JA, Santibañez-Saenz, P, __Visweswaran, S__, Olano, JP//. \\+//Bhavnani SK, Drake, J, Bellala G, Dang B, Peng B, Oteo JA, Santibañez-Saenz P, __Visweswaran S__, Olano JP//. \\
 In: AMIA Joint Summits Translational Science Proceedings. 2013 Mar 18; 2013:15-9. In: AMIA Joint Summits Translational Science Proceedings. 2013 Mar 18; 2013:15-9.
  
 **44. Noninvasive predictors of subdural grid seizure localization in children with nonlesional focal epilepsy**.  \\ **44. Noninvasive predictors of subdural grid seizure localization in children with nonlesional focal epilepsy**.  \\
-//Kalamangalam, GP, Pestana Knight, EM, __Visweswaran, S__, Gupta, A//. \\+//Kalamangalam GP, Pestana Knight EM, __Visweswaran S__, Gupta A//. \\
 Journal of Clinical Neurophysiology. 2013 Feb; 30(1):45-50. Journal of Clinical Neurophysiology. 2013 Feb; 30(1):45-50.
  
 **43. Outlier detection for patient monitoring and alerting**. \\ **43. Outlier detection for patient monitoring and alerting**. \\
-//Hauskrecht, M, Batal, I, Valko, M, __Visweswaran, S__, Cooper, GF, Clermont, G//. \\+//Hauskrecht M, Batal I, Valko M, __Visweswaran S__, Cooper GF, Clermont G//. \\
 Journal of Biomedical Informatics. 2013 Feb; 46(1):47-55. Journal of Biomedical Informatics. 2013 Feb; 46(1):47-55.
  
 **42. Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease**. \\ **42. Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease**. \\
-//Stokes, M, __Visweswaran, S__//. \\+//Stokes M, __Visweswaran S__//. \\
 BioData Mining. 2012 Dec 3; 5(1):20. BioData Mining. 2012 Dec 3; 5(1):20.
  
 **41. Predicting the risk of psychosis onset: Advances and prospects**. \\ **41. Predicting the risk of psychosis onset: Advances and prospects**. \\
-//Strobl, EV, Eack, SM, Swaminathan, V, __Visweswaran, S__//. \\+//Strobl EV, Eack SM, Swaminathan V, __Visweswaran S__//. \\
 Early Intervention in Psychiatry. 2012 Nov;6(4):368-79. Early Intervention in Psychiatry. 2012 Nov;6(4):368-79.
  
 **40. The role of complementary bipartite visual analytical representations in the analysis of SNPs: A case study in ancestral informative markers**. \\ **40. The role of complementary bipartite visual analytical representations in the analysis of SNPs: A case study in ancestral informative markers**. \\
-//Bhavnani, SK, Bellala, G, Victor, S, Bassler, K, __Visweswaran, S__//. \\+//Bhavnani SK, Bellala G, Victor S, Bassler K, __Visweswaran S__//. \\
 Journal of the American Medical Informatics Association. 2012 Jun 1; 19(e1):e5-e12. Journal of the American Medical Informatics Association. 2012 Jun 1; 19(e1):e5-e12.
  
 **39. Building an automated SOAP classifier for emergency department reports**. \\ **39. Building an automated SOAP classifier for emergency department reports**. \\
-//Mowery, D, Weibe, J, __Visweswaran, S__, Harkema, H, Chapman, WW//. \\+//Mowery D, Weibe J, __Visweswaran S__, Harkema H, Chapman WW//. \\
 Journal of Biomedical Informatics. 2012 Feb; 45(1):71-81. Journal of Biomedical Informatics. 2012 Feb; 45(1):71-81.
  
 **38. A multivariate probabilistic method for comparing two clinical datasets**. \\ **38. A multivariate probabilistic method for comparing two clinical datasets**. \\
-//Sverchkov, Y, __Visweswaran, S__, Clermont, G, Hauskrecht, M, Cooper, GF//. \\+//Sverchkov Y, __Visweswaran S__, Clermont G, Hauskrecht M, Cooper GF//. \\
 In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. 2012 Jan 28; 2012:795-800. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. 2012 Jan 28; 2012:795-800.
  
 **37. Application of an efficient Bayesian discretization method to biomedical data**. \\ **37. Application of an efficient Bayesian discretization method to biomedical data**. \\
-//Lustgarten, JL*, __Visweswaran, S__*, Gopalakrishnan, V, Cooper, GF//. *Co-first authors \\+//Lustgarten JL*, __Visweswaran S__*, Gopalakrishnan V, Cooper GF//. *Co-first authors \\
 BMC Bioinformatics. 2011 Jul 28; 12:309. BMC Bioinformatics. 2011 Jul 28; 12:309.
  
 **36. Computerized detection of adverse drug reactions in the medical intensive care unit**. \\ **36. Computerized detection of adverse drug reactions in the medical intensive care unit**. \\
-//Kane-Gill, SL, __Visweswaran, S__, Saul, MI, Wong, AI, Penrod, L, Handler, SM//. \\+//Kane-Gill SL, __Visweswaran S__, Saul MI, Wong AI, Penrod L, Handler SM//. \\
 International Journal of Medical Informatics. 2011 Aug; 80(8):570-8. International Journal of Medical Informatics. 2011 Aug; 80(8):570-8.
  
 **35. The application of naive Bayes model averaging to predict Alzheimer’s disease from genome-wide data**. \\ **35. The application of naive Bayes model averaging to predict Alzheimer’s disease from genome-wide data**. \\
-//Wei, W, __Visweswaran, S__, Cooper, GF//. \\+//Wei W, __Visweswaran S__, Cooper GF//. \\
 Journal of the American Medical Informatics Association. 2011 Jul-Aug; 18(4):370-5. Journal of the American Medical Informatics Association. 2011 Jul-Aug; 18(4):370-5.
  
 **34. Identifying interacting environmental factor – gene pairs**. \\ **34. Identifying interacting environmental factor – gene pairs**. \\
-//Kimmel, C, Lustgarten, J, Handler, SM, Wong, AI, __Visweswaran, S__//. \\+//Kimmel C, Lustgarten J, Handler SM, Wong AI, __Visweswaran S__//. \\
 In: Proceedings of the 5th International Symposium on Bio- and Medical Informatics and Cybernetics (BMIC 2011). 2011 Jul 19; 2011. In: Proceedings of the 5th International Symposium on Bio- and Medical Informatics and Cybernetics (BMIC 2011). 2011 Jul 19; 2011.
  
 **33. Learning genetic epistasis using Bayesian network scoring criteria**. \\ **33. Learning genetic epistasis using Bayesian network scoring criteria**. \\
-//Jiang, X, Neapolitan, RE, Barmada, MM, __Visweswaran, S__//. \\+//Jiang X, Neapolitan RE, Barmada MM, __Visweswaran S__//. \\
 BMC Bioinformatics. 2011 Mar 31; 12:89. BMC Bioinformatics. 2011 Mar 31; 12:89.
  
 **32. Learning instance-specific predictive models**. \\ **32. Learning instance-specific predictive models**. \\
-//__Visweswaran, S__, Cooper, GF//. \\+//__Visweswaran S__, Cooper GF//. \\
 Journal of Machine Learning Research. 2010 Dec 1; 11:3369-3405. \\ Journal of Machine Learning Research. 2010 Dec 1; 11:3369-3405. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25045325|abstract]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/25045325|abstract]])
  
 **31. Identifying deviations from usual medical care using a statistical approach**. **31. Identifying deviations from usual medical care using a statistical approach**.
-//__Visweswaran, S__, Mezger, J, Clermont, G, Hauskrecht, M, Cooper, GF//. \\+//__Visweswaran S__, Mezger J, Clermont G, Hauskrecht M, Cooper GF//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:827-31. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:827-31. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21347094|abstract]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/21347094|abstract]])