CHIL 2022

24 papers

ADCB: An Alzheimer’s Disease Simulator for Benchmarking Observational Estimators of Causal Effects Newton Mwai Kinyanjui, Fredrik D Johansson

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

Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence Juyong Kim, Jeremy C Weiss, Pradeep Ravikumar

Counterfactually Guided Policy Transfer in Clinical Settings Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

Data Augmentation for Electrocardiograms Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John Guttag, Collin M Stultz

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

Enriching Unsupervised User Embedding via Medical Concepts Xiaolei Huang, Franck Dernoncourt, Mark Dredze

Estimating Model Performance on External Samples from Their Limited Statistical Characteristics Tal El-Hay, Chen Yanover

Evaluating Domain Generalization for Survival Analysis in Clinical Studies Florian Pfisterer, Chris Harbron, Gunther Jansen, Tao Xu

Graph-Text Multi-Modal Pre-Training for Medical Representation Learning Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi

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

Identification of Subgroups with Similar Benefits in Off-Policy Policy Evaluation Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill

Improving the Fairness of Chest X-Ray Classifiers Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi

Lead-Agnostic Self-Supervised Learning for Local and Global Representations of Electrocardiogram Jungwoo Oh, Hyunseung Chung, Joon-myoung Kwon, Dong-gyun Hong, Edward Choi

Learning Unsupervised Representations for ICU Timeseries Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni

MedMCQA: A Large-Scale Multi-Subject Multi-Choice Dataset for Medical Domain Question Answering Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials Zhixuan Chu, Stephen L Rathbun, Sheng Li

Neural Survival Clustering: Non-Parametric Mixture of Neural Networks for Survival Clustering Vincent Jeanselme, Brian Tom, Jessica Barrett

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

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

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

Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson, Stuart J Connolly, Alexander Benz, Anthony Carnicelli, Marzyeh Ghassemi

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Younghak Kim, Edward Choi