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Beau Norgeot
Beau Norgeot
University of California, San Francisco
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Year
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
3042020
A call for deep-learning healthcare
B Norgeot, BS Glicksberg, AJ Butte
Nature medicine 25 (1), 14-15, 2019
2322019
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
1602019
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
542020
Learning causal effects from observational data in healthcare: a review and summary
J Shi, B Norgeot
Frontiers in Medicine 9, 864882, 2022
132022
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
132019
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
62022
De-identification of electronic records
B Norgeot, A Butte, G Schenk, E Rutenberg
US Patent 11,461,496, 2022
52022
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
52022
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
52021
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, ...
52019
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
42023
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
42018
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
12023
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
12021
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
12021
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
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