Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
Next revision Both sides next revision
publications [2018/11/02 10:51]
shyam 		publications [2019/04/17 22:10]
shyam
Line 1: Line 1:
 ===== 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**. \\+**90. Approximate kernel-based conditional independence tests for fast non-parametric causal discovery**. \\ 
 +//Strobl, EV, Zhang, K, __Visweswaran, S__//. \\ 
 +Journal of Causal Inference. 2019 Mar; 4(1):31-48. \\ 
 +([[https://arxiv.org/abs/1702.03877|abstract & paper]]) 
 + 
 +**89. Towards team-centered informatics: Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\ 
 +//Bhavnani SK, __Visweswaran S__, Divekar R, Brasier A//. \\  
 +The Journal of Applied Behavioral Science. 2019 Mar;55(1):50-72. \\ 
 +([[https://journals.sagepub.com/doi/full/10.1177/0021886318794606|abstract & paper]]) 
 + 
 +**88. 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. \\
 +([[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371238/|abstract & paper]])
  
-**89. Instance-specific Bayesian network structure learning**. \\+**87. 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. \\
 +([[http://proceedings.mlr.press/v72/jabbari18a.html|abstract & paper]])
  
-**88. Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium network**. \\+**86. 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. \\
 +([[https://academic.oup.com/jamiaopen/article/1/2/147/5077449|abstract & paper]])
  
-**87. Accelerating innovation in multidisciplinary scientific teams through visual analytics**. \\+**85. 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//) \\
 +([[https://sts.memberclicks.net/assets/2018_SciTS_docs/Presentations/Bhavnani_Accelerating%20Innovation.pdf|presentation]])
  
-**86. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy**. \\+**84. 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. \\
Line 24: Line 38:
 ({{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**. \\+**83. 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**. \\+**82. 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**. \\+**81. 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**. \\+**80. 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**. \\ +**79. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching**. \\
-//Strobl, EV, Zhang, K, __Visweswaran, S__//. \\ +
-arXiv preprint arXiv:1702.03877, 2017. \\ +
-([[https://arxiv.org/abs/1702.03877|abstract & paper]]) +
- +
-**80. 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. \\
Line 65: Line 74:
 ([[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. \\
Line 101: Line 110:
 ([[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**. \\