| Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of The Royal Society Interface 15 (141), 20170387, 2018 | 1772 | 2018 |
| Privacy-preserving generative deep neural networks support clinical data sharing BK Beaulieu-Jones, ZS Wu, C Williams, R Lee, SP Bhavnani, JB Byrd, ... Circulation: Cardiovascular Quality and Outcomes 12 (7), e005122, 2019 | 374 | 2019 |
| Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist B Norgeot, G Quer, BK Beaulieu-Jones, A Torkamani, R Dias, ... Nature medicine 26 (9), 1320-1324, 2020 | 259 | 2020 |
| Semi-supervised learning of the electronic health record for phenotype stratification BK Beaulieu-Jones, CS Greene Journal of biomedical informatics 64, 168-178, 2016 | 193 | 2016 |
| Missing Data Imputation in the Electronic Health Record using Deeply Learned Autoencoders BK Beaulieu-Jones, JH Moore, THEPROA ALS, CT CONSORTIUM Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 22, 207, 2016 | 191 | 2016 |
| International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium GA Brat, GM Weber, N Gehlenborg, P Avillach, NP Palmer, L Chiovato, ... NPJ digital medicine 3 (1), 109, 2020 | 169 | 2020 |
| Reproducibility of computational workflows is automated using continuous analysis BK Beaulieu-Jones, CS Greene Nature biotechnology 35 (4), 342-346, 2017 | 149 | 2017 |
| Characterizing and managing missing structured data in electronic health records: data analysis BK Beaulieu-Jones, DR Lavage, JW Snyder, JH Moore, SA Pendergrass, ... JMIR medical informatics 6 (1), e8960, 2018 | 130 | 2018 |
| Examining the use of real‐world evidence in the regulatory process BK Beaulieu‐Jones, SG Finlayson, W Yuan, RB Altman, IS Kohane, ... Clinical Pharmacology & Therapeutics 107 (4), 843-852, 2020 | 122 | 2020 |
| Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? BK Beaulieu-Jones, W Yuan, GA Brat, AL Beam, G Weber, M Ruffin, ... NPJ digital medicine 4 (1), 62, 2021 | 84 | 2021 |
| 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), e22219, 2021 | 75 | 2021 |
| Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III critical care database BK Beaulieu-Jones, P Orzechowski, JH Moore PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposium …, 2018 | 58 | 2018 |
| Privacy-preserving distributed deep learning for clinical data BK Beaulieu-Jones, W Yuan, SG Finlayson, ZS Wu arXiv preprint arXiv:1812.01484, 2018 | 56 | 2018 |
| Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019 | 53 | 2019 |
| Temporal bias in case-control design: preventing reliable predictions of the future W Yuan, BK Beaulieu-Jones, KH Yu, SL Lipnick, N Palmer, J Loscalzo, ... Nature communications 12 (1), 1107, 2021 | 45 | 2021 |
| Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, Christopher A …, 2018 | 32 | 2018 |
| Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data JG Klann, H Estiri, GM Weber, B Moal, P Avillach, C Hong, ALM Tan, ... Journal of the American Medical Informatics Association 28 (7), 1411-1420, 2021 | 31 | 2021 |
| International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ... JAMA network open 4 (6), e2112596-e2112596, 2021 | 29 | 2021 |
| Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... EClinicalMedicine 55, 2023 | 23 | 2023 |
| Privacy-preserving generative deep neural networks support clinical data sharing. bioRxiv BK Beaulieu-Jones, ZS Wu, C Williams, CS Greene DOI, 2017 | 21 | 2017 |
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalVerified email at hms.harvard.edu
