Changchang Yin

Changchang Yin works on applying machine learning and deep learning methods to healthcare problems, including predicting disease progression, analyzing medical images, and combining different types of clinical data (such as text notes, images, and physiological signals) to improve risk prediction. Recent work spans topics like opioid overdose risk prediction using graph-based models, eye disease and stroke risk prediction, and evaluating large AI models for medical reasoning tasks.

Publication output has fluctuated over the past decade with a dip around 2018 and a low point in 2022-2023, but has grown again in recent years (2024-2026), suggesting renewed and increasing activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026