Loading Events

« All Events

  • This event has passed.

Zilber College of Public Health Weekly Seminar – Interpretable Fall Risk Prediction Using Explainable AI and Large Language Models, Jake Luo, Associate Professor – Health Care Informatics

February 13 @ 9:00 am - 9:50 am

Free

Interpretable Fall Risk Prediction Using Explainable AI and Large Language Models

Presented by Jake Luo, PhD
Associate Professor, Health Care Informatics
Zilber College of Public Health

This presentation introduces an innovative approach to fall risk prediction, combining state-of-the-art machine learning with explainable AI and natural language generation. The system utilizes electronic health records to predict fall risk, employs SHAP values for interpretability, and leverages large language models to generate clear, actionable explanations. The research demonstrates improved accuracy and transparency in fall risk assessment, empowering healthcare providers with actionable insights for more effective prevention strategies.

Join us in a forum to hear the latest in the research and practice of public health to support a just, equitable, healthy future for people, communities, and the environment in Milwaukee, the state of Wisconsin, and beyond.

The seminar can also be attended virtually on Teams.

Venue

KIRC Room 1150
3135 N. Maryland Ave.
Milwaukee, WI 53211 United States

Organizer

Zilber College of Public Health
Phone
414-227-3001
Email
zcph-info@uwm.edu
View Organizer Website