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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 149: Machine Learning for Healthcare Conference, 6-7 August 2021, Virtual

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Editors: Ken Jung, Serena Yeung, Mark Sendak, Michael Sjoding, Rajesh Ranganath

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Filter Authors: Filter Titles:

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:2-35

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Knowledge Graph-based Question Answering with Electronic Health Records

Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:36-53

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Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

Zhiliang Wu, Yinchong Yang, Peter A. Fashing, Volker Tresp; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:54-79

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Directing Human Attention in Event Localization for Clinical Timeline Creation

Jason Zhao, Monica Agrawal, Pedram Razavi, David Sontag; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:80-102

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CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays

Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:103-125

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Understanding Clinical Collaborations Through Federated Classifier Selection

Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:126-145

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Deep Generative Analysis for Task-Based Functional MRI Experiments

Daniela de Albuquerque, Jack Goffinet, Rachael Wright, John Pearson; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:146-175

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Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels

Brian Chen, Golara Javadi, Amoon Jamzad, Alexander Hamilton, Stephanie Sibley, Purang Abolmaesumi, David Maslove, Parvin Mousavi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:176-195

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Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Byung-Hak Kim, Varun Ganapathi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:196-208

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Power Constrained Bandits

Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:209-259

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EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:260-282

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Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

Haiqi Wei, Frank Rudzicz, David Fleet, Teodor Grantcharov, Babak Taati; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:283-307

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Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance

Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily Fox; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:308-336

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An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention

Yeachan Kim, Bonggun Shin; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:337-353

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Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:354-372

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Risk score learning for COVID-19 contact tracing apps

Kevin Murphy, Abhishek Kumar, Stylianos Serghiou; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:373-390

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MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health

Hiba Ahsan, Emmie Ohnuki, Avijit Mitra, Hong You; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:391-413

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In-depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis

Naoki Nonaka, Jun Seita; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:414-439

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Hierarchical Information Criterion for Variable Abstraction

Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:440-460

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Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs

Nasir Hayat, Hazem Lashen, Farah E. Shamout; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:461-477

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Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach

Ardvan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William Wells, Frank Sciurba, Kayhan Batmanghelich; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:478-505

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Mind the Performance Gap: Examining Dataset Shift During Prospective Validation

Erkin Otles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:506-534

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A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction

Inigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:535-566

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Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories

Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:567-613

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A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms

Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:614-647

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Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions

Preston Putzel, Hyungrok Do, Alex Boyd, Hua Zhong, Padhraic Smyth; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:648-673

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Deep Cox Mixtures for Survival Regression

Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:674-708

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Stool Image Analysis for Precision Health Monitoring by Smart Toilets

Jin Zhou, Nick DeCapite, Jackson McNabb, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:709-729

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Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification

Sarah C. Brüningk, Felix Hensel, Louis P. Lukas, Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:730-754

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MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation

Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:755-769

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Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data

Shreyas Bhave, Adler Perotte; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:770-789

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