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publications [2018/11/02 10:51]
shyam 		publications [2018/11/02 10:57]
shyam [Journal papers and conference proceedings]
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 ===== Journal papers and conference proceedings ===== ===== Journal papers and conference proceedings =====
  
-**90. Using machine learning to predict the information seeking behavior of clinicians using an electronic medical record system**. \\+**89. Using machine learning to predict the information seeking behavior of clinicians using an electronic medical record system**. \\
 //King, AJ, Cooper, GF, Hochheiser, H, Clermont, G, Hauskrecht, M, __Visweswaran, S__//. \\ //King, AJ, Cooper, GF, Hochheiser, H, Clermont, G, Hauskrecht, M, __Visweswaran, S__//. \\
 In: AMIA Annual Symposium Proceedings. 2018 Nov 7. \\ In: AMIA Annual Symposium Proceedings. 2018 Nov 7. \\
  
-**89. Instance-specific Bayesian network structure learning**. \\+**88. Instance-specific Bayesian network structure learning**. \\
 //Jabbari F, __Visweswaran S__, Cooper GF//. \\ //Jabbari F, __Visweswaran S__, Cooper GF//. \\
 In: The 9th International Conference on Probabilistic Graphical Models. 2018 Sep 11 – 14. \\ In: The 9th International Conference on Probabilistic Graphical Models. 2018 Sep 11 – 14. \\
  
-**88. Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium network**. \\+**87. Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium network**. \\
 //__Visweswaran S__, Becich MJ, D’Itri VS, Sendro ER, MacFadden D, Anderson NR, Allen KA, Ranganathan D, Murphy SN, Morrato EH, Pincus HA, Toto R, Firestein GS, Nadler LM, Reis SE//. \\ //__Visweswaran S__, Becich MJ, D’Itri VS, Sendro ER, MacFadden D, Anderson NR, Allen KA, Ranganathan D, Murphy SN, Morrato EH, Pincus HA, Toto R, Firestein GS, Nadler LM, Reis SE//. \\
 JAMIA Open. 2018 Aug 21. \\ JAMIA Open. 2018 Aug 21. \\
  
-**87. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\+**86. 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//) \\
  
-**86. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\+**85. 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. \\
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 ({{papers:2018_a_novel_representation_of_vaccine_efficacy_trial_datasets_for_use_in_computer_simulation_of_vaccination_policy.pdf|paper}}) ({{papers:2018_a_novel_representation_of_vaccine_efficacy_trial_datasets_for_use_in_computer_simulation_of_vaccination_policy.pdf|paper}})
  
-**85. Fast causal inference with non-random missingness by test-wise deletion**. \\+**84. 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 Jan 9. \\ International Journal of Data Science and Analytics. 2018 Jan 9. \\
 ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]]) ([[http://dx.doi.org/10.1007/s41060-017-0094-6|paper]])
  
-**84. Translational bioinformatics in mental health: Open access data sources and computational biomarker discovery**. \\+**83. 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. 2017 Nov 27. \\ Briefings in Bioinformatics. 2017 Nov 27. \\
 ([[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]])
  
-**83. Methylation differences reveal heterogeneity in preterm pathophysiology: results from bipartite network analyses**. \\+**82. Methylation differences reveal heterogeneity in preterm pathophysiology: results from bipartite network analyses**. \\
 //Bhavnani SK, Dang B, Kilaru V, Caro M, __Visweswaran S__, Saade G, Smith AK, Menon R//. \\ //Bhavnani SK, Dang B, Kilaru V, Caro M, __Visweswaran S__, Saade G, Smith AK, Menon R//. \\
 Journal of Perinatal Medicine. 2017 Jun 30. \\ Journal of Perinatal Medicine. 2017 Jun 30. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/28665803|abstract]]) ([[http://dx.doi.org/10.1515/jpm-2017-0126|paper]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/28665803|abstract]]) ([[http://dx.doi.org/10.1515/jpm-2017-0126|paper]]) 
  
-**82. Automated annotation and classification of BI-RADS assessment from radiology reports**. \\+**81. 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]])
  
-**81. Approximate kernel-based conditional independence tests for fast non-parametric causal discovery**. \\+**80. Approximate kernel-based conditional independence tests for fast non-parametric causal discovery**. \\
 //Strobl, EV, Zhang, K, __Visweswaran, S__//. \\ //Strobl, EV, Zhang, K, __Visweswaran, S__//. \\
 arXiv preprint arXiv:1702.03877, 2017. \\ arXiv preprint arXiv:1702.03877, 2017. \\
 ([[https://arxiv.org/abs/1702.03877|abstract & paper]]) ([[https://arxiv.org/abs/1702.03877|abstract & paper]])
  
-**80. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\+**79. 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]])
  
-**79. Enabling comprehension of patient subgroups and characteristics in large bipartite networks: Implications for precision medicine**. \\+**78. 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}})
  
-**78. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR**. \\+**77. 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. \\
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 ([[http://www.ncbi.nlm.nih.gov/pubmed/28815151|abstract]]) ({{papers:2017_eye-tracking_for_clinical_decision_support_a_method_to_capture_automatically_what_physicians_are_viewing_in_the_emr.pdf|paper}})  ([[http://www.ncbi.nlm.nih.gov/pubmed/28815151|abstract]]) ({{papers:2017_eye-tracking_for_clinical_decision_support_a_method_to_capture_automatically_what_physicians_are_viewing_in_the_emr.pdf|paper}}) 
  
-**77. Learning parsimonious classification rules from gene expression data using Bayesian networks with local structure**. \\+**76. 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]])
  
-**76. Outlier-based detection of unusual patient-management actions: An ICU study**. \\+**75. 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]])
  
-**75. An informatics research agenda to support precision medicine: 7 key areas**. \\+**74. 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}})
  
-**74. Estimating and controlling the False Discovery Rate for the PC algorithm using edge-specific p-values**. \\+**73. Estimating and controlling the False Discovery Rate for the PC algorithm using edge-specific p-values**. \\
 //Strobl, EV, Spirtes, PL, __Visweswaran, S__//. \\ //Strobl, EV, Spirtes, PL, __Visweswaran, S__//. \\
 arXiv preprint arXiv:1607.03975, 2016. \\ arXiv preprint arXiv:1607.03975, 2016. \\
 ([[https://arxiv.org/abs/1607.03975|abstract & paper]]) ([[https://arxiv.org/abs/1607.03975|abstract & paper]])
  
-**73. 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}})
  
-**72. 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}})
  
-**71. 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. \\
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 ([[http://www.ncbi.nlm.nih.gov/pubmed/26958296|abstract]]) ({{papers:2015_development_and_preliminary_evaluation_of_a_prototype_of_a_learning_electronic_medical_record_system.pdf|paper}}) ([[http://www.ncbi.nlm.nih.gov/pubmed/26958296|abstract]]) ({{papers:2015_development_and_preliminary_evaluation_of_a_prototype_of_a_learning_electronic_medical_record_system.pdf|paper}})
  
-**70. 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}})
  
-**69. 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}})
  
-**68. 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}})
  
-**67. 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}})
  
-**66. 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}})
  
-**65. 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}})
  
-**64. 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}})
  
-**63. 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}}) \\
  
-**62. 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}})
  
-**61. 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}})
  
-**60. 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}})
  
-**59. 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]])
  
-**58. 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}})
  
-**57. 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]])
  
-**56. 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}}) \\
  
-**55. 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}})
  
-**54. 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}})
  
-**53. 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.
  
-**52. 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.
  
-**51. 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.
  
-**50. 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.
  
-**49. 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.
- 
-**48. Deep multiple kernel learning**. \\ 
-//Strobl, EV, __Visweswaran, S__//. \\ 
-arXiv preprint arXiv:1310.3101, 2013. \\ 
-([[https://arxiv.org/abs/1310.3101|abstract & paper]]) 
  
 **47. Conditional outlier approach for detection of unusual patient care actions**. \\ **47. Conditional outlier approach for detection of unusual patient care actions**. \\