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Volume 287: Conference on Health, Inference, and Learning, 25-27 June 2025, Pauley Ballroom, Martin Luther King Jr. Building at UC Berkeley, Berkeley, USA
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Editors: Xuhai Orson Xu, Edward Choi, Pankhuri Singhal, Walter Gerych, Shengpu Tang, Monica Agrawal, Adarsh Subbaswamy, Elena Sizikova, Jessilyn Dunn, Roxana Daneshjou, Tasmie Sarker, Matthew McDermott, Irene Chen
Learning Disease Progression Models That Capture Health Disparities
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:1-29
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Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:30-42
KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:43-62
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Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:63-88
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Electrocardiogram–Language Model for Few-Shot Question Answering with Meta Learning
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:89-104
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A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:105-129
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Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:130-144
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WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:145-165
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Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:166-178
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Causal considerations can deterimine the utility of machine learning assisted GWAS
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:179-193
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Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-compliance
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:194-230
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CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:231-246
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Towards Predicting Temporal Changes in a Patient’s Chest X-ray Images based on Electronic Health Records
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:247-267
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Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:268-288
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When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:289-305
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Global Deep Forecasting with Patient-Specific Pharmacokinetics
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:306-336
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ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:337-368
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Distributionally Robust Learning in Survival Analysis
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:369-380
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Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:381-394
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ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:395-429
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Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:430-442
Predicting Health States of Patients with Chronic Pain from Cellphone Usage Data
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:443-457
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Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:458-479
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Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:480-501
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Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:502-526
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CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:527-542
Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:543-556
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Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:557-572
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The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:573-609
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Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:610-648
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HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:649-671
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Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:672-690
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Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:691-707
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The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:708-719
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How does my language model understand clinical text?
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:720-743
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Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:744-780
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MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:781-803
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Transformer Model for Alzheimer’s Disease Progression Prediction Using Longitudinal Visit Sequences
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:804-816
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LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:817-843
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A Study of Artifacts on Melanoma Classification under Diffusion-Based Perturbations
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:844-861
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Uncertainty Quantification for Machine Learning in Healthcare: A Survey
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:862-907
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Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
; Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:908-924
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