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