AI & Prediction -- ICHPS 2027

Confident but Unchecked: The Illusion of Statistical Competence in an Era of Generative AI

Samantha Robinson (University of Arkansas)

Generative AI AI Literacy Statistical Reasoning Medical Education Collaborative Consulting

Regularized Apprenticeship Learning with Attention for Inferring Behavioral Pathways Linked to Health Knowledge Gains in a Digital Health Intervention

Rahul Ladhania (University of Michigan)

Co-authors: Rema Padman (Carnegie Mellon University), Shreyas Vajjhala (University of Michigan)

digital health intervention inverse reinforcement learning behavioral telemetry health knowledge gamification

Low-Cost, Interpretable Prediction of Cognitive Status in Older Adults: Evidence from the Health and Retirement Study

Deepak Bastola (Florida Atlantic University)

cognitive decline machine learning deep learning Health and Retirement Study explainable AI health equity

Feature Importance and Selection in Language Models with Semi-structured Data

Qiuran Lyu

Co-authors: Xinwei Ma (Department of Economics, University of California San Diego), Jingshen Wang (Division of Biostatistics, University of California, Berkeley)

Feature selection in language models Embedding-level masking Discrete-continuous surrogate optimization Alzheimer's disease pathology HIV treatment engagement and adherence

A Novel Assam-Based Machine Learning Model for Oesophageal Cancer Prediction Using Lifestyle, Dietary, and Oral Health Risk Markers

Biraj kumar kalita (ICMR)

Machine learning Esophageal cancer Tooth loss Prediction Models

A Re-Examination of the Kappa Statistic for Evaluation in Machine Learning Models

Jason Brinkley (Northwell Health)

Evaluation Machine Learning Measurement Modeling

AI & Prediction

6 Abstracts