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 | 304 | 2020 |
A call for deep-learning healthcare B Norgeot, BS Glicksberg, AJ Butte Nature medicine 25 (1), 14-15, 2019 | 232 | 2019 |
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis B Norgeot, BS Glicksberg, L Trupin, D Lituiev, M Gianfrancesco, ... JAMA network open 2 (3), e190606-e190606, 2019 | 160 | 2019 |
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes B Norgeot, K Muenzen, TA Peterson, X Fan, BS Glicksberg, G Schenk, ... NPJ digital medicine 3 (1), 57, 2020 | 54 | 2020 |
Learning causal effects from observational data in healthcare: a review and summary J Shi, B Norgeot Frontiers in Medicine 9, 864882, 2022 | 13 | 2022 |
Automatic labeling of special diagnostic mammography views from images and DICOM headers DS Lituiev, H Trivedi, M Panahiazar, B Norgeot, Y Seo, B Franc, ... Journal of digital imaging 32, 228-233, 2019 | 13 | 2019 |
Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes C Belthangady, S Giampanis, I Jankovic, W Stedden, P Alves, S Chong, ... Nature Communications 13 (1), 6921, 2022 | 6 | 2022 |
De-identification of electronic records B Norgeot, A Butte, G Schenk, E Rutenberg US Patent 11,461,496, 2022 | 5 | 2022 |
Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments J Shi, D Wang, G Tesei, B Norgeot Frontiers in Artificial Intelligence 5, 918813, 2022 | 5 | 2022 |
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision C Belthangady, W Stedden, B Norgeot BMC Medical Research Methodology 21, 1-10, 2021 | 5 | 2021 |
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis. JAMA Netw Open. 2019; 2 (3): e190606 B Norgeot, BS Glicksberg, L Trupin, D Lituiev, M Gianfrancesco, ... | 5 | 2019 |
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation G Tesei, S Giampanis, J Shi, B Norgeot Journal of Biomedical Informatics 140, 104339, 2023 | 4 | 2023 |
Time aggregation and model interpretation for deep multivariate longitudinal patient outcome forecasting systems in chronic ambulatory care B Norgeot, D Lituiev, BS Glicksberg, AJ Butte arXiv preprint arXiv:1811.12589, 2018 | 4 | 2018 |
Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codes A Gutfraind, K Yagci Sokat, G Muscioni, S Alahmadi, J Hudlow, ... Frontiers in public health 11, 1243413, 2023 | 1 | 2023 |
Developing the total health profile, a generalizable unified set of multimorbidity risk scores derived from machine learning for broad patient populations: retrospective cohort … A Mahajan, A Deonarine, A Bernal, G Lyons, B Norgeot Journal of Medical Internet Research 23 (11), e32900, 2021 | 1 | 2021 |
MAgEC: Using non-homogeneous ensemble consensus for predicting drivers in unexpected mechanical ventilation S Giampanis, A Mahajan, T Goldstein, B Norgeot AMIA Summits on Translational Science Proceedings 2021, 238, 2021 | 1 | 2021 |
Methods for evaluating clinical comparative efficacy using real-world health data and artificial intelligence B Norgeot, T Goldstein, A Bernal, C Belthangady, H Sahota, N Guggemos, ... US Patent 11,887,736, 2024 | | 2024 |
MULTIMORBIDITY AND TREATMENT OUTCOMES IN ADVANCED CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD): REAL-WORLD EVIDENCE FROM A NATIONAL HEALTH CARE DATA SET A Gutfraind, P Alves, S Chong, J Shi, C Knott, R Kale, I Jankovic, ... CHEST 164 (4), A4964-A4965, 2023 | | 2023 |
Using Nationwide Health Records to Address Care Gaps in Diabetes and Prediabetes Diagnosis through AI Assisted Large-Scale Prioritized Outreach for Hemoglobin A1c Screening B Norgeot, G Tesei, I Jankovic, S Giampanis, J Shi, D Wang, R Kale | | 2023 |
Machine Learning Derived Multimorbidity Risk Scores for Generalizable Patient Populations T Goldstein, B Samuel, B Norgeot, A Mahajan, D Blankley US Patent App. 17/237,591, 2022 | | 2022 |