Shyam Visweswaran, MD, PhD

Research Interests: 

Dr. Visweswaran’s research interests include the application of artificial intelligence and machine learning to problems in the Learning Health System with a specific focus on learning electronic medical record (EMR) and computerized clinical decision support, precision medicine and personalized modeling, data mining and causal discovery from genomic and biomedical data, and enabling reuse of EMR data and research data warehousing.

Associate Professor, Department of Biomedical Informatics

Associate Professor of Intelligent Systems, Clinical and Translational Science, and Computational Biology

Director of Clinical Informatics, Department of Biomedical Informatics

Director of the Data Enabled Clinical Informatics Center (DECIC)

Director of the Biomedical Informatics Core, Clinical and Translational Science Institute

Biomedical Informatics Program Director of the Medical Scientist Training Program

Biomedical Informatics Training Program Core Faculty

University of Pittsburgh School of Medicine

Publications: 

Tajgardoon M, Wagner MM, Visweswaran S, Zimmerman RK. A Novel Representation of Vaccine Efficacy Trial Datasets for Use in Computer Simulation of Vaccination Policy. AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:389-398. eCollection 2018. PubMed PMID: 29888097. PMCID: PMC5961808.

King AJ, Hochheiser H, Visweswaran S, Clermont G, Cooper GF. Eye-tracking for Clinical Decision Support: A Method to Capture Automatically What Physicians Are Viewing in the EMR. AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:512-521. eCollection 2017. PMID: 28815151. PMCID: PMC5543363.

Castro SM, Tseytlin E, Medvedeva O, Mitchell K, Visweswaran S, Bekhuis T, Jacobson RS. Automated annotation and classification of BI-RADS assessment from radiology reports, J Biomed Inform. 2017 May;69:177-187. doi: 10.1016/j.jbi.2017.04.011. Epub 2017 Apr 18. PMID: 28428140. PMCID: PMC5706448.

Culbertson A, Goel S, Madden MB, 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. The Building Blocks of Interoperability. A Multisite Analysis of Patient Demographic Attributes Available for Matching. Appl Clin Inform. 2017 Apr 5;8(2):322-336. doi: 10.4338/ACI-2016-11-RA-0196. PMID: 28378025.

Lustgarten JL, Balasubramanian JB, Visweswaran S, Gopalakrishnan V, Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data (Basel).  2017 Mar;2(1). pii: 5. Epub 2017 Jan 18. PMID: 28331847.  PMCID: PMC5358670.  DOI: 10.3390/data2010005.

Strobl EV, Visweswaran S. Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery. 2017. arXiv:1702.03877.

Tenenbaum JD, Bhuvaneshwar K, Gagliardi JP, Fultz Hollis K, Jia P, Ma L, Nagarajan R, Rakesh G, Subbian V, Visweswaran S, Zhao Z, Rozenblit L. Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Brief Bioinform. 2017 Nov 27. doi: 10.1093/bib/bbx157. [Epub ahead of print] PMID: 29186302

Pineda AL, Ogoe HA, Balasubramanian JB, Rangel Escareño C, Visweswaran S, Herman JG, Gopalakrishnan V. On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue. BMC Cancer. 2016 Mar 4;16:184. doi: 10.1186/s12885-016-2223-3. PMID:  26944944  PMCID:  PMC4778315  DOI: 10.1186/s12885-016-2223-3.

Hauskrecht M, Batal I, Hong C, Nguyen Q, Cooper GF, Visweswaran S, Clermont G. Outlier-based detection of unusual patient-management actions: An ICU study. Journal of Biomedical Informatics (2016) Oct 5  pii: S1532-0464(16)30135-6. doi: http://dx.doi.org/10.1016/j.jbi.2016.10.002. PMID: 27720983. PMCID: PMC5207478.

Ogoe, HA, Visweswaran, S, Lu, X, Gopalakrishnan, V.  (2015) Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.  BMC Bioinformatics 16:226 (designated as a Highly Accessed paper) PMID: 26202217 PMCID: PMC4512094

Visweswaran S, Ferreira A, Cooper GF. Personalized modeling for prediction with decision-path models. PLoS One. 2015 Jun 22;10(6):e0131022 PMID: 26098570 PMCID: PMC4476684.

López Pineda A, Ye Y, Visweswaran S, Cooper GF, Wagner MM, Tsui FR. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. J Biomed Inform. 2015 Dec;58:60-69. doi: 10.1016/j.jbi.2015.08.019. Epub 2015 Sep 16. PMID: 26385375. PMCID: PMC4684714.

Eric Strobl, Shyam Visweswaran. Markov boundary discovery with ridge regularized linear models. Journal of Causal Inference. ISSN (Online) 2193-3685, ISSN (Print) 2193-3677, DOI: 10.1515/jci-2015-0011, November 2015

King AJ, Cooper GF, Hochheiser H, Clermont G. Development and preliminary evaluation of a prototype of a learning electronic medical record system. AMIA Annu Symp Proc. 2015 Nov 5;2015:1967-75. eCollection 2015. PMID: 26958296 PMCID: PMC4765593.

Balasubramanian JB, Cooper GF, Visweswaran SGopalakrishnan V. Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine. Proceedings of the AMIA 2014 Joint Summits in Translational Science (In Press); April 2014; San Francisco, CA, USA2014.

Stokes ME, Barmada MM, Kamboh MI, Visweswaran S. The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data. BMC Genomics. 2014 Apr 14;15(1):282. PMID: 24731236

Bhavnani SK, Dang B, Caro M, Bellala G, Visweswaran S, Asuncion M, Divekar R. Heterogeneity within and across pediatric pulmonary infections: From bipartite networks to at-risk subphenotypes. In: Proceedings of the 2014 AMIA Summit on Translational Bioinformatics (Apr 2014).

Aflakparast M, Salimi H, Gerami A, Dubé M-P, Visweswaran S, Masoudi-Nejad A. Cuckoo search epistasis: A new method for exploring significant genetic interactions. Heredity, 2014 Feb 19; doi: 10.1038/hdy.2014.4. PMID: 24549111

Pineda AL, Tsui FC, Visweswaran S, Cooper GF. (2013). Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports. Online Journal of Public Health Informatics, 5(1), e41.

Kalamangalam GP, Pestana Knight EM, Visweswaran S, Gupta A. Noninvasive predictors of subdural grid seizure localization in children with nonlesional focal epilepsy. Journal of Clinical Neurophysiology. 2013 Feb;30(1):45-50. PMID: 23377441

Strobl EV, Visweswaran S. Deep multiple kernel learning. In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13), Miami, FL. (Dec 2013).

Sverchkov Y, Visweswaran S, Clermont G, Hauskrecht M, Cooper GF. A multivariate probabilistic method for comparing two clinical datasets. In: Proceedings of the ACM International Health Informatics Symposium (2012) 795-800.

Jiang X, Neapolitan RE, Barmada M, Visweswaran S, Cooper GF. A fast algorithm for learning epistatic genomic relationships. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2010) 341-345. PMID: 21346997. PMC3041370.

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