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Priyadip Ray

Showing results (1-10 of 13) with videos related to

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Bioinformatics (Oxford, England)|February 4, 2014
Bayesian joint analysis of heterogeneous genomics dataPriyadip Ray, Lingling Zheng, Joseph Lucas, et al.
Journal of Biomedical Informatics|August 29, 2022
Unsupervised probabilistic models for sequential Electronic Health RecordsAlan D Kaplan, John D Greene, Vincent X Liu, et al.
BMC Medical Research Methodology|May 9, 2020
Generation and evaluation of synthetic patient dataAndre Goncalves, Priyadip Ray, Braden Soper, et al.
Journal of Biomedical Informatics|August 13, 2021
Bayesian multitask learning regression for heterogeneous patient cohortsAndre Goncalves, Priyadip Ray, Braden Soper, et al.
Journal of Biomedical Informatics|February 22, 2021
Nonstationary multivariate Gaussian processes for electronic health recordsRui Meng, Braden Soper, Herbert K H Lee, et al.
Scientific Reports|August 25, 2025
Knowledge graph-aided Bayesian active learning for top-K genetic interaction discoveryBraden Soper, Michal Lisicki, Mary Silva, et al.
Plos One|November 16, 2020
Improving five-year survival prediction via multitask learning across HPV-related cancersAndre Goncalves, Braden Soper, Mari Nygård, et al.
Research Square|June 30, 2025
AI-Enabled Diagnostic Prediction within Electronic Health Records to Enhance Biosurveillance and Early Outbreak DetectionAndre Goncalves, Jose Cadena, Yeping Hu, et al.
Cancer Medicine|March 9, 2022
COVID-19 outcomes in patients with cancer: Findings from the University of California health system databaseDaniel H Kwon, Jose Cadena, Sam Nguyen, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|August 9, 2023
An electronic health record cohort of Veterans with amyotrophic lateral sclerosisRichard J Reimer, Andre Goncalves, Braden Soper, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|February 4, 2014
Bayesian joint analysis of heterogeneous genomics dataPriyadip Ray, Lingling Zheng, Joseph Lucas, et al.
Journal of Biomedical Informatics|August 29, 2022
Unsupervised probabilistic models for sequential Electronic Health RecordsAlan D Kaplan, John D Greene, Vincent X Liu, et al.
BMC Medical Research Methodology|May 9, 2020
Generation and evaluation of synthetic patient dataAndre Goncalves, Priyadip Ray, Braden Soper, et al.
Journal of Biomedical Informatics|August 13, 2021
Bayesian multitask learning regression for heterogeneous patient cohortsAndre Goncalves, Priyadip Ray, Braden Soper, et al.
Journal of Biomedical Informatics|February 22, 2021
Nonstationary multivariate Gaussian processes for electronic health recordsRui Meng, Braden Soper, Herbert K H Lee, et al.
Scientific Reports|August 25, 2025
Knowledge graph-aided Bayesian active learning for top-K genetic interaction discoveryBraden Soper, Michal Lisicki, Mary Silva, et al.
Plos One|November 16, 2020
Improving five-year survival prediction via multitask learning across HPV-related cancersAndre Goncalves, Braden Soper, Mari Nygård, et al.
Research Square|June 30, 2025
AI-Enabled Diagnostic Prediction within Electronic Health Records to Enhance Biosurveillance and Early Outbreak DetectionAndre Goncalves, Jose Cadena, Yeping Hu, et al.
Cancer Medicine|March 9, 2022
COVID-19 outcomes in patients with cancer: Findings from the University of California health system databaseDaniel H Kwon, Jose Cadena, Sam Nguyen, et al.
Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration|August 9, 2023
An electronic health record cohort of Veterans with amyotrophic lateral sclerosisRichard J Reimer, Andre Goncalves, Braden Soper, et al.
Pageof 2