Adler J. Perotte
Orcid: 0000-0002-6695-0282
According to our database1,
Adler J. Perotte
authored at least 53 papers
between 2005 and 2024.
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Bibliography
2024
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification.
CoRR, 2024
2023
<i>EvidenceMap</i>: a three-level knowledge representation for medical evidence computation and comprehension.
J. Am. Medical Informatics Assoc., 2023
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference.
CoRR, 2023
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling.
Proceedings of the Machine Learning for Healthcare Conference, 2023
2022
CoRR, 2022
2021
J. Am. Medical Informatics Assoc., 2021
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients.
J. Am. Medical Informatics Assoc., 2021
J. Am. Medical Informatics Assoc., 2021
UMLS-based data augmentation for natural language processing of clinical research literature.
J. Am. Medical Informatics Assoc., 2021
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.
J. Am. Medical Informatics Assoc., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data.
Proceedings of the Machine Learning for Healthcare Conference, 2021
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks.
Proceedings of the Machine Learning for Health, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations.
npj Digit. Medicine, 2020
J. Biomed. Informatics, 2020
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Machine Learning for Health Workshop, 2020
Proceedings of the AMIA 2020, 2020
Proceedings of the AMIA 2020, 2020
2019
J. Am. Medical Informatics Assoc., 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
2018
Proceedings of the Machine Learning for Healthcare Conference, 2018
Development of a Machine Learning Model for Prediction of Successful Extubation and User-Friendly Implementation for Real-World Use.
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records.
Proceedings of the AMIA 2016, 2016
A probabilistic model for learning relationships between diagnosis codes and clinical free text.
Proceedings of the AMIA 2016, 2016
Standardization of FDA Adverse Event Reporting System to the OHDSI Common Data Model.
Proceedings of the AMIA 2016, 2016
Approaches for using temporal and other filters for next generation phenotype discovery.
Proceedings of the AMIA 2016, 2016
2015
J. Biomed. Informatics, 2015
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.
J. Am. Medical Informatics Assoc., 2015
J. Am. Medical Informatics Assoc., 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics.
Proceedings of the AMIA 2015, 2015
2014
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014
J. Am. Medical Informatics Assoc., 2014
2013
IEEE J. Biomed. Health Informatics, 2013
2011
J. Am. Medical Informatics Assoc., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2005
Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal.
Neural Networks, 2005