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Brett K Beaulieu-Jones

Showing results (1-10 of 33) with videos related to

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Nature Biotechnology|March 14, 2017
Reproducibility of computational workflows is automated using continuous analysisBrett K Beaulieu-Jones, Casey S Greene
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERSBrett K Beaulieu-Jones, Jason H Moore
Journal of Biomedical Informatics|October 17, 2016
Semi-supervised learning of the electronic health record for phenotype stratificationBrett K Beaulieu-Jones, Casey S Greene,
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care DatabaseBrett K Beaulieu-Jones, Patryk Orzechowski, Jason H Moore
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify PhenotypesBrett K Beaulieu-Jones, Isaac S Kohane, Andrew L Beam
JAMIA Open|June 18, 2021
Illustrating potential effects of alternate control populations on real-world evidence-based statistical analysesYidi Huang, William Yuan, Isaac S Kohane, et al.
NPJ Digital Medicine|May 10, 2025
Synthetic data distillation enables the extraction of clinical information at scaleElizabeth Geena Woo, Michael C Burkhart, Emily Alsentzer, et al.
Neurology. Clinical Practice|November 16, 2022
Severity of Epilepsy and Response to Antiseizure Medications in Individuals With Multiple Sclerosis: Analysis of a Real-World DatasetMauricio F Villamar, Rani A Sarkis, Page Pennell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation modelsMichael C Burkhart, Bashar Ramadan, Luke Solo, et al.
JAMA Network Open|February 3, 2026
Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical OutcomesBashar Ramadan, Ming-Chieh Liu, Michael C Burkhart, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Nature Biotechnology|March 14, 2017
Reproducibility of computational workflows is automated using continuous analysisBrett K Beaulieu-Jones, Casey S Greene
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERSBrett K Beaulieu-Jones, Jason H Moore
Journal of Biomedical Informatics|October 17, 2016
Semi-supervised learning of the electronic health record for phenotype stratificationBrett K Beaulieu-Jones, Casey S Greene,
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care DatabaseBrett K Beaulieu-Jones, Patryk Orzechowski, Jason H Moore
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify PhenotypesBrett K Beaulieu-Jones, Isaac S Kohane, Andrew L Beam
JAMIA Open|June 18, 2021
Illustrating potential effects of alternate control populations on real-world evidence-based statistical analysesYidi Huang, William Yuan, Isaac S Kohane, et al.
NPJ Digital Medicine|May 10, 2025
Synthetic data distillation enables the extraction of clinical information at scaleElizabeth Geena Woo, Michael C Burkhart, Emily Alsentzer, et al.
Neurology. Clinical Practice|November 16, 2022
Severity of Epilepsy and Response to Antiseizure Medications in Individuals With Multiple Sclerosis: Analysis of a Real-World DatasetMauricio F Villamar, Rani A Sarkis, Page Pennell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation modelsMichael C Burkhart, Bashar Ramadan, Luke Solo, et al.
JAMA Network Open|February 3, 2026
Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical OutcomesBashar Ramadan, Ming-Chieh Liu, Michael C Burkhart, et al.
Pageof 4