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Braden Soper

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

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Statistical Methods in Medical Research|August 30, 2022
Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup dataRui Meng, Braden Soper, Herbert Kh Lee, 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|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.
Journal of Biomedical Informatics|August 13, 2021
Bayesian multitask learning regression for heterogeneous patient cohortsAndre Goncalves, Priyadip Ray, Braden Soper, 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.
The Lancet. Digital Health|March 11, 2026
Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: a retrospective cohort studyRichard J Reimer, Braden Soper, Jennifer L Wilson, et al.
Scientific Reports|October 2, 2021
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patientsSam Nguyen, Ryan Chan, Jose Cadena, et al.
Pageof 1

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

Sort By:
Pageof 1
Statistical Methods in Medical Research|August 30, 2022
Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup dataRui Meng, Braden Soper, Herbert Kh Lee, 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|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.
Journal of Biomedical Informatics|August 13, 2021
Bayesian multitask learning regression for heterogeneous patient cohortsAndre Goncalves, Priyadip Ray, Braden Soper, 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.
The Lancet. Digital Health|March 11, 2026
Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: a retrospective cohort studyRichard J Reimer, Braden Soper, Jennifer L Wilson, et al.
Scientific Reports|October 2, 2021
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patientsSam Nguyen, Ryan Chan, Jose Cadena, et al.
Pageof 1