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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
Conference on Health, Inference, and Learning (CHIL) 2022
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:1-4
[abs][Download PDF]
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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:32-47
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:48-62
Enriching Unsupervised User Embedding via Medical Concepts
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:63-78
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
; 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
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:103-118
Semi-Markov Offline Reinforcement Learning for Healthcare
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:138-151
Learning Unsupervised Representations for ICU Timeseries
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:169-182
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:183-203
Improving the Fairness of Chest X-ray Classifiers
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:204-233
Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:248-260
Graph-Text Multi-Modal Pre-training for Medical Representation Learning
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:261-281
Data Augmentation for Electrocardiograms
; 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
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:338-353
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
; 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
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:375-396
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:397-410
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
; Proceedings of the Conference on Health, Inference, and Learning, PMLR 174:411-425
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