Adler J. Perotte

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 48

Top Topics

Causal Inference

Survival Analysis

Gaussian Process

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Mert Ketenci, Iñigo Urteaga, Victor Alfonso Rodriguez, Noémie Elhadad, Adler J. Perotte
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. CoRR (2024)
Mert Ketenci, Shreyas Bhave, Noémie Elhadad, Adler J. Perotte
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. CoRR (2023)
Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler J. Perotte
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. MLHC (2023)
Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR (2023)
Tian Kang, Yingcheng Sun, Jae Hyun Kim, Casey N. Ta, Adler J. Perotte, Kayla Schiffer, Mutong Wu, Yang Zhao, Nour Moustafa-Fahmy, Yifan Peng, Chunhua Weng
: a three-level knowledge representation for medical evidence computation and comprehension. J. Am. Medical Informatics Assoc. 30 (6) (2023)
David Ouyang, John Theurer, Nathan R. Stein, J. Weston Hughes, Pierre Elias, Bryan He, Neal Yuan, Grant Duffy, Roopinder K. Sandhu, Joseph Ebinger, Patrick Botting, Melvin Jujjavarapu, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality. CoRR (2022)
Shreyas Bhave, Pierre Elias, Victor Alfonso Rodriguez, Timothy Poterucha, Simi Mutasa, Jay Leb, Nir Uriel, Adler J. Perotte
LVHNet: Detecting Cardiac Structural Abnormalities with Chest X-Rays. AMIA (2021)
Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
Causal Estimation with Functional Confounders. CoRR (2021)
Tian Kang, Ali Turfah, Jaehyun Kim, Adler J. Perotte, Chunhua Weng
A neuro-symbolic method for understanding free-text medical evidence. J. Am. Medical Informatics Assoc. 28 (8) (2021)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. CoRR (2021)
Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. ML4H@NeurIPS (2021)
Oliver J. Bear Don't Walk IV, Tony Y. Sun, Adler J. Perotte, Noémie Elhadad
Clinically relevant pretraining is all you need. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Shreyas Bhave, Adler J. Perotte
Multi-Channel LSTM for Modeling Irregularly Sampled Time Series. AMIA (2021)
Tian Kang, Adler J. Perotte, Youlan Tang, Casey N. Ta, Chunhua Weng
UMLS-based data augmentation for natural language processing of clinical research literature. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Amelia J. Averitt, Patrick B. Ryan, Chunhua Weng, Adler J. Perotte
A conceptual framework for external validity. J. Biomed. Informatics 121 (2021)
Victor Alfonso Rodriguez, Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra Sengupta, Noemie Elhadad, Robert A. Green, Jason S. Adelman, Katherine Schlosser Metitiri, Pierre Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. NeurIPS (2021)
Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. CoRR (2021)
Li-heng Fu, Chris Knaplund, Kenrick Cato, Adler J. Perotte, Min-Jeoung Kang, Patricia C. Dykes, David J. Albers, Sarah Collins Rossetti
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. CoRR (2021)
Shreyas Bhave, Adler J. Perotte
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data. MLHC (2021)
Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
Adversarially-Learned Balancing Weights for Causal Inference. AMIA (2020)
Shreyas Bhave, Xintian Han, Rajesh Ranganath, Adler J. Perotte
Deep Survival Analysis: The Impact of Feature Missingness. AMIA (2020)
Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. ML4H@NeurIPS (2020)
Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
Causal Estimation with Functional Confounders. NeurIPS (2020)
Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
The Counterfactual χ-GAN: Finding comparable cohorts in observational health data. J. Biomed. Informatics 109 (2020)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. NeurIPS (2020)
Griffin Adams, Mert Ketenci, Adler J. Perotte, Noemie Elhadad
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. CoRR (2020)
Amelia J. Averitt, Chunhua Weng, Patrick B. Ryan, Adler J. Perotte
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. npj Digit. Medicine 3 (2020)
Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
The Counterfactual χ-GAN. CoRR (2020)
Amelia J. Averitt, Benjamin H. Slovis, Abdul A. Tariq, David K. Vawdrey, Adler J. Perotte
Characterizing the Urban Opioid Epidemic Using EHR Data. AMIA (2019)
Fernanda C. Polubriaginof, Patrick B. Ryan, Hojjat Salmasian, Andrea W. Shapiro, Adler J. Perotte, Monika M. Safford, George Hripcsak, Shaun Smith, Nicholas P. Tatonetti, David K. Vawdrey
Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Victor Alfonso Rodriguez, Adler J. Perotte
Phenotype Inference with Semi-Supervised Mixed Membership Models. MLHC (2019)
Victor Alfonso Rodriguez, Adler J. Perotte
Learning Disease Phenotypes with Semi-Supervision. AMIA (2019)
Rajesh Ranganath, Adler J. Perotte
Multiple Causal Inference with Latent Confounding. CoRR (2018)
Joongheum Park, Hao Shi, Adler J. Perotte
Development of a Machine Learning Model for Prediction of Successful Extubation and User-Friendly Implementation for Real-World Use. AMIA (2018)
Xenia Miscouridou, Adler J. Perotte, Noemie Elhadad, Rajesh Ranganath
Deep Survival Analysis: Nonparametrics and Missingness. MLHC (2018)
Victor Alfonso Rodriguez, Adler J. Perotte
Phenotype inference with Semi-Supervised Mixed Membership Models. CoRR (2018)
Amelia J. Averitt, Adler J. Perotte
Noisy-Or Risk Allocation Model for Causal Inference. AMIA (2018)
Joongheum Park, Liana Tascau, Adler J. Perotte
Lessons Learned from the Conversion of MIMIC3 to the OHDSI Common Data Model. AMIA (2017)
Amelia J. Averitt, Chunhua Weng, Adler J. Perotte
Clinical Trial Eligibility Criteria Fail to Meet Burden of Generalizability. AMIA (2017)
Fernanda Polubriaginof, Mary Regina Boland, Adler J. Perotte, David K. Vawdrey
Quality of Race and Ethnicity Data in Electronic Health Records. CRI (2016)
Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
Deep Survival Analysis. CoRR (2016)
David J. Albers, Adler J. Perotte, George Hripcsak
Approaches for using temporal and other filters for next generation phenotype discovery. AMIA (2016)
Adler J. Perotte, Noemie Elhadad
A probabilistic model for learning relationships between diagnosis codes and clinical free text. AMIA (2016)
Amelia J. Averitt, Adler J. Perotte
Standardization of FDA Adverse Event Reporting System to the OHDSI Common Data Model. AMIA (2016)
Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
Deep Survival Analysis. MLHC (2016)
Fernanda Polubriaginof, Hojjat Salmasian, Andrea W. Shapiro, Jennifer E. Prey, George Hripcsak, Adler J. Perotte, Nicholas P. Tatonetti, David K. Vawdrey
Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records. AMIA (2016)
Mark D. Danese, Erica A. Voss, Jennifer Duryea, Michelle Gleeson, Ryan Duryea, Amy Matcho, Donald O'Hara, William E. Stephens, Adler J. Perotte, Lee Evans, Christian G. Reich
Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics. AMIA (2015)
George Hripcsak, David J. Albers, Adler J. Perotte
Parameterizing time in electronic health record studies. J. Am. Medical Informatics Assoc. 22 (4) (2015)
Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad
Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics 58 (2015)
Adler J. Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. J. Am. Medical Informatics Assoc. 22 (4) (2015)
Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei
The Survival Filter: Joint Survival Analysis with a Latent Time Series. UAI (2015)
Adler J. Perotte, Rimma Pivovarov, Karthik Natarajan, Nicole Gray Weiskopf, Frank D. Wood, Noemie Elhadad
Diagnosis code assignment: models and evaluation metrics. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Adler J. Perotte, George Hripcsak
Temporal Properties of Diagnosis Code Time Series in Aggregate. IEEE J. Biomed. Health Informatics 17 (2) (2013)
Adler J. Perotte, Frank D. Wood, Noemie Elhadad, Nicholas Bartlett
Hierarchically Supervised Latent Dirichlet Allocation. NIPS (2011)
George Hripcsak, David J. Albers, Adler J. Perotte
Exploiting time in electronic health record correlations. J. Am. Medical Informatics Assoc. 18 (Supplement) (2011)
Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
A Bayesian Analysis of Dynamics in Free Recall. NIPS (2009)
Kenneth A. Norman, Ehren L. Newman, Adler J. Perotte
Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. Neural Networks 18 (9) (2005)