Shyam Visweswaran
Shyam Visweswaran
Professor of Biomedical Informatics, University of Pittsburgh
Verified email at - Homepage
Cited by
Cited by
The “All of Us” Research Program
AURP Investigators
New England Journal of Medicine 381 (7), 668-676, 2019
Derivation, validation, and potential treatment implications of novel clinical phenotypes for sepsis
CW Seymour, JN Kennedy, S Wang, CCH Chang, CF Elliott, Z Xu, S Berry, ...
JAMA 321 (20), 2003-2017, 2019
The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment
MA Haendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ...
Journal of the American Medical Informatics Association, 2020
Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative
TD Bennett, RA Moffitt, JG Hajagos, B Amor, A Anand, MM Bissell, ...
JAMA Network Open 4 (7), e2116901-e2116901, 2021
Approximate kernel-based conditional independence tests for fast non-parametric causal discovery
EV Strobl, K Zhang, S Visweswaran
Journal of Causal Inference 7 (1), 20180017, 2019
Outlier detection for patient monitoring and alerting
M Hauskrecht, I Batal, M Valko, S Visweswaran, GF Cooper, G Clermont
Journal of Biomedical Informatics 46 (1), 47-55, 2013
Improving classification performance with discretization on biomedical datasets
JL Lustgarten, V Gopalakrishnan, H Grover, S Visweswaran
AMIA Annual Symposium Proceedings 2008, 445, 2008
Evolving phenotypes of non-hospitalized patients that indicate long COVID
H Estiri, ZH Strasser, GA Brat, YR Semenov, CJ Patel, SN Murphy
BMC Medicine 19 (1), 1-10, 2021
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data
W Wei, S Visweswaran, GF Cooper
Journal of the American Medical Informatics Association 18 (4), 370-375, 2011
Learning genetic epistasis using Bayesian network scoring criteria
X Jiang, RE Neapolitan, MM Barmada, S Visweswaran
BMC Bioinformatics 12 (1), 89, 2011
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.
PA López, Y Ye, S Visweswaran, GF Cooper, MM Wagner, FR Tsui
Journal of Biomedical Informatics 58, 60-69, 2015
Measuring stability of feature selection in biomedical datasets
JL Lustgarten, V Gopalakrishnan, S Visweswaran
AMIA Annual Symposium Proceedings 2009, 406–410, 2009
The All of Us Research Program: data quality, utility, and diversity
AH Ramirez, L Sulieman, DJ Schlueter, A Halvorson, J Qian, ...
Patterns 3 (8), 100570, 2022
Automated annotation and classification of BI-RADS assessment from radiology reports
SM Castro, E Tseytlin, O Medvedeva, K Mitchell, S Visweswaran, ...
Journal of Biomedical Informatics 69, 177-187, 2017
What every reader should know about studies using electronic health record data but may be afraid to ask
IS Kohane, BJ Aronow, P Avillach, BK Beaulieu-Jones, R Bellazzi, ...
Journal of Medical Internet Research 23 (3), 2021
An informatics research agenda to support precision medicine: seven key areas
JD Tenenbaum, P Avillach, M Benham-Hutchins, MK Breitenstein, ...
Journal of the American Medical Informatics Association 23 (4), 791-795, 2016
Accrual to Clinical Trials (ACT): a Clinical and Translational Science Award Consortium network
S Visweswaran, MJ Becich, VS D’Itri, ER Sendro, D MacFadden, ...
JAMIA Open, 2018
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
JT Reese, H Blau, E Casiraghi, T Bergquist, JJ Loomba, TJ Callahan, ...
eBioMedicine 87, 104413, 2023
Identifying genetic interactions in genome‐wide data using Bayesian networks
X Jiang, MM Barmada, S Visweswaran
Genetic Epidemiology 34 (6), 575-581, 2010
Building an automated SOAP classifier for emergency department reports
D Mowery, J Wiebe, S Visweswaran, H Harkema, WW Chapman
Journal of Biomedical Informatics 45 (1), 71-81, 2012
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