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Volume 174: Conference on Health, Inference, and Learning, 7-8 April 2022, Virtual

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Editors: Gerardo Flores, George H Chen, Tom Pollard, Joyce C Ho, Tristan Naumann

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Conference on Health, Inference, and Learning (CHIL) 2022

Gerardo Flores, George H Chen, Tom Pollard, Ayah Zirikly, Michael C Hughes, Tasmie Sarker, Joyce C Ho, Tristan Naumann; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:1-4

Counterfactually Guided Policy Transfer in Clinical Settings

Taylor W Killian, Marzyeh Ghassemi, Shalmali Joshi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:5-31

Evaluating Domain Generalization for Survival Analysis in Clinical Studies

Florian Pfisterer, Chris Harbron, Gunther Jansen, Tao Xu; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:32-47

Estimating Model Performance on External Samples from Their Limited Statistical Characteristics

Tal El-Hay, Chen Yanover; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:48-62

Enriching Unsupervised User Embedding via Medical Concepts

Xiaolei Huang, Franck Dernoncourt, Mark Dredze; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:63-78

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials

Zhixuan Chu, Stephen L Rathbun, Sheng Li; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:79-91

Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering

Vincent Jeanselme, Brian Tom, Jessica Barrett; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:92-102

ADCB: An Alzheimer’s disease simulator for benchmarking observational estimators of causal effects

Newton Mwai Kinyanjui, Fredrik D Johansson; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:103-118

Semi-Markov Offline Reinforcement Learning for Healthcare

Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:119-137

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records

Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:138-151

Learning Unsupervised Representations for ICU Timeseries

Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:152-168

How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU

Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa McCradden, Mjaye Mazwi, Anna Goldenberg; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:169-182

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding

Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Younghak Kim, Edward Choi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:183-203

Improving the Fairness of Chest X-ray Classifiers

Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:204-233

Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence

Juyong Kim, Jeremy C Weiss, Pradeep Ravikumar; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:234-247

MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:248-260

Graph-Text Multi-Modal Pre-training for Medical Representation Learning

Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:261-281

Data Augmentation for Electrocardiograms

Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John Guttag, Collin M Stultz; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:282-310

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:311-337

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

Jungwoo Oh, Hyunseung Chung, Joon-myoung Kwon, Dong-gyun Hong, Edward Choi; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:338-353

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression

Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, Xuanlong Nguyen, Shirley You Ren; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:354-374

Disability prediction in multiple sclerosis using performance outcome measures and demographic data

Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomašev, Fletcher Lee Hartsell, Katherine Heller; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:375-396

Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation

Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:397-410

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data

Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:411-425

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