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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 126: Machine Learning for Healthcare Conference, 7-8 August 2020, Virtual

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Editors: Finale Doshi-Velez, Jim Fackler, Ken Jung, David Kale, Rajesh Ranganath, Byron Wallace, Jenna Wiens

[bib][citeproc]

Filter Authors: Filter Titles:

Learning to Ask Medical Questions using Reinforcement Learning

; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:2-26

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ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling

Yuan Luo, Chengsheng Mao; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:27-45

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An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions

Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg, Antje Gottschalk, Martin Dugas, Christian Ertmer; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:46-79

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Towards Early Diagnosis of Epilepsy from EEG Data

Diyuan Lu, Sebastian Bauer, Valentin Neubert, Laura Sophie Costard, Felix Rosenow, Jochen Triesch; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:80-96

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Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica Spatz, Harlan M. Krumholz, Roozbeh Jafari, Mortazavi J. Bobak; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:97-120

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Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions

Hari Bandi, Dimitris Bertsimas; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:121-142

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Towards data-driven stroke rehabilitation via wearable sensors and deep learning

Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:143-171

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Learning Insulin-Glucose Dynamics in the Wild

Andrew C. Miller, Nicholas J. Foti, Emily Fox; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:172-197

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Knowledge Base Completion for Constructing Problem-Oriented Medical Records

James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David Sontag; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:198-222

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Neural Conditional Event Time Models

Matthew Engelhard, Samuel Berchuck, Joshua D’Arcy, Ricardo Henao; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:223-244

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Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention

Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:245-270

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Differentially Private Survival Function Estimation

Lovedeep Gondara, Ke Wang; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:271-291

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MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations

Mijung Kim, Ho-min Park, Jae Yoon Kim, Seong Hwan Kim, Sofie Hoeke, Wesley De Neve; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:292-308

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Personalized Input-Output Hidden Markov Models for Disease Progression Modeling

Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:309-330

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Phenotyping with Prior Knowledge using Patient Similarity

Asif Rahman, Yale Chang, Bryan Conroy, Minnan Xu-Wilson; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:331-351

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Addressing Sample Size Challenges in Linked Data Through Data Fusion

Srikesh Arunajadai, Lulu Lee, Tom Haskell; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:352-375

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A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model

Riddhiman Adib, Paul Griffin, Sheikh Iqbal Ahamed, Mohammad Adibuzzaman; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:376-396

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Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization

A. Demetri Pananos, Daniel J. Lizotte; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:397-417

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Evaluating and interpreting caption prediction for histopathology images

Renyu Zhang, Christopher Weber, Robert Grossman, Aly A. Khan; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:418-435

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Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:436-456

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Attentive Adversarial Network for Large-Scale Sleep Staging

Samaneh Nasiri, Gari D. Clifford; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:457-478

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Attention-Based Network for Weak Labels in Neonatal Seizure Detection

Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martinez, Martin Bertran, Guillermo Sapiro, David Carlson; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:479-507

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Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Ian Fox, Joyce Lee, Rodica Pop-Busui, Jenna Wiens; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:508-536

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Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals

George H. Chen; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:537-565

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Time-Aware Transformer-based Network for Clinical Notes Series Prediction

Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke Rundensteiner; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:566-588

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Transfer Learning from Well-Curated to Less-Resourced Populations with HIV

Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:589-609

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Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations

Benjamin Schloss, Sandeep Konam; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:610-631

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Query-Focused EHR Summarization to Aid Imaging Diagnosis

Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem Meent, Byron C. Wallace; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:632-659

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Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention

Yifeng Tao, Shuangxia Ren, Michael Q. Ding, Russell Schwartz, Xinghua Lu; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:660-684

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Using deep networks for scientific discovery in physiological signals

Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:685-709

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Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation

George Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:710-731

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Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging

Szu-Yen Hu, Shuhang Wang, Wei-Hung Weng, JingChao Wang, XiaoHong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:732-749

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Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts

Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:750-782

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Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration

Shems Saleh, William Boag, Lauren Erdman, Tristan Naumann; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:783-812

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Non-Invasive Classification of Alzheimer’s Disease Using Eye Tracking and Language

Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Field; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:813-841

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Fast, Structured Clinical Documentation via Contextual Autocomplete

Divya Gopinath, Monica Agrawal, Luke Murray, Steven Horng, David Karger, David Sontag; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:842-870

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Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data

Hadia Hameed, Samantha Kleinberg; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:871-894

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UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication

Do June Min, Veronica Perez-Rosas, Shihchen Kuo, William H. Herman, Rada Mihalcea; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:895-912

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CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output

Matthew B.A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:913-927

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Robust Benchmarking for Machine Learning of Clinical Entity Extraction

Monica Agrawal, Chloe O’Connell, Yasmin Fatemi, Ariel Levy, David Sontag; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:928-949

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Preparing a Clinical Support Model for Silent Mode in General Internal Medicine

Bret Nestor, Liam G. McCoy, Amol Verma, Chloe Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi; Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:950-972

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