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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
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Counterfactually Guided Policy Transfer in Clinical Settings
; 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, Fanny Chevalier, 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
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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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