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Shyam Visweswaran
Shyam Visweswaran
Professor of Biomedical Informatics, University of Pittsburgh
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The ¡°All of Us¡± Research Program
AURP Investigators
New England Journal of Medicine 381 (7), 668-676, 2019
1247*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
10592019
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
4662020
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
2042021
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
1972019
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
1792013
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
1592022
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
1322021
Improving classification performance with discretization on biomedical datasets
JL Lustgarten, V Gopalakrishnan, H Grover, S Visweswaran
AMIA Annual Symposium Proceedings 2008, 445, 2008
1302008
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
1232011
Learning genetic epistasis using Bayesian network scoring criteria
X Jiang, RE Neapolitan, MM Barmada, S Visweswaran
BMC Bioinformatics 12 (1), 89, 2011
1182011
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
1162023
Measuring stability of feature selection in biomedical datasets
JL Lustgarten, V Gopalakrishnan, S Visweswaran
AMIA Annual Symposium Proceedings 2009, 406–410, 2009
1072009
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
1062021
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
1052015
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
972017
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
912018
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
882016
Identifying genetic interactions in genome‐wide data using Bayesian networks
X Jiang, MM Barmada, S Visweswaran
Genetic Epidemiology 34 (6), 575-581, 2010
722010
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
652012
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