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Adler Perotte
Adler Perotte
Assistant Professor, Columbia University
Verified email at columbia.edu
Title
Cited by
Cited by
Year
Characterizing treatment pathways at scale using the OHDSI network
G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park, V Huser, MA Suchard, ...
Proceedings of the National Academy of Sciences 113 (27), 7329-7336, 2016
3362016
Diagnosis code assignment: models and evaluation metrics
A Perotte, R Pivovarov, K Natarajan, N Weiskopf, F Wood, N Elhadad
Journal of the American Medical Informatics Association 21 (2), 231-237, 2014
2662014
Deep survival analysis
R Ranganath, A Perotte, N Elhadad, D Blei
Machine Learning for Healthcare Conference, 101-114, 2016
2292016
Nonconvulsive seizures after subarachnoid hemorrhage: multimodal detection and outcomes
J Claassen, A Perotte, D Albers, S Kleinberg, JM Schmidt, B Tu, ...
Annals of neurology 74 (1), 53-64, 2013
1992013
Hierarchically supervised latent Dirichlet allocation
A Perotte, F Wood, N Elhadad, N Bartlett
Advances in neural information processing systems 24, 2011
1752011
Learning probabilistic phenotypes from heterogeneous EHR data
R Pivovarov, AJ Perotte, E Grave, J Angiolillo, CH Wiggins, N Elhadad
Journal of biomedical informatics 58, 156-165, 2015
1572015
Challenges with quality of race and ethnicity data in observational databases
FCG Polubriaginof, P Ryan, H Salmasian, AW Shapiro, A Perotte, ...
Journal of the American Medical Informatics Association 26 (8-9), 730-736, 2019
1372019
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis
A Perotte, R Ranganath, JS Hirsch, D Blei, N Elhadad
Journal of the American Medical Informatics Association 22 (4), 872-880, 2015
1232015
Methods for reducing interference in the complementary learning systems model: oscillating inhibition and autonomous memory rehearsal
KA Norman, EL Newman, AJ Perotte
Neural Networks 18 (9), 1212-1228, 2005
1202005
Parameterizing time in electronic health record studies
G Hripcsak, DJ Albers, A Perotte
Journal of the American Medical Informatics Association 22 (4), 794-804, 2015
932015
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations
AJ Averitt, C Weng, P Ryan, A Perotte
NPJ digital medicine 3 (1), 67, 2020
912020
Elevated GM3 plasma concentration in idiopathic Parkinson’s disease: A lipidomic analysis
RB Chan, AJ Perotte, B Zhou, C Liong, EJ Shorr, KS Marder, UJ Kang, ...
PLoS One 12 (2), e0172348, 2017
862017
A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury
CL Overby, J Pathak, O Gottesman, K Haerian, A Perotte, S Murphy, ...
Journal of the American Medical Informatics Association 20 (e2), e243-e252, 2013
792013
Exploiting time in electronic health record correlations
G Hripcsak, DJ Albers, A Perotte
Journal of the American Medical Informatics Association 18 (Suppl 1), i109-i115, 2011
762011
High rate of renal recovery in survivors of COVID-19 associated acute renal failure requiring renal replacement therapy
JS Stevens, KL King, SY Robbins-Juarez, P Khairallah, K Toma, ...
PLoS One 15 (12), e0244131, 2020
692020
Trends in poor health indicators among Black and Hispanic middle-aged and older adults in the United States, 1999-2018
M Odlum, N Moise, IM Kronish, P Broadwell, C Alcántara, NJ Davis, ...
JAMA Network Open 3 (11), e2025134-e2025134, 2020
672020
Diagnosing transthyretin cardiac amyloidosis by technetium Tc 99m pyrophosphate: a test in evolution
TJ Poterucha, P Elias, S Bokhari, AJ Einstein, A DeLuca, M Kinkhabwala, ...
Cardiovascular Imaging 14 (6), 1221-1231, 2021
592021
The prognostic value of electrocardiogram at presentation to emergency department in patients with COVID-19
P Elias, TJ Poterucha, SS Jain, G Sayer, J Raikhelkar, J Fried, K Clerkin, ...
Mayo Clinic Proceedings 95 (10), 2099-2109, 2020
582020
Detecting social and behavioral determinants of health with structured and free-text clinical data
DJ Feller, OJB Don't Walk, J Zucker, MT Yin, P Gordon, N Elhadad
Applied clinical informatics 11 (01), 172-181, 2020
502020
Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations
DJ Albers, N Elhadad, E Tabak, A Perotte, G Hripcsak
PloS one 9 (6), e96443, 2014
492014
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Articles 1–20