AI, ML and Friends Seminar - Talk

Aug 15, 2025·
Pramo Samarasinghe
Pramo Samarasinghe
· 0 min read
Abstract
Traditional mortality models often rely on static demographic factors. In this talk, I present a novel approach using a State-Based Dynamic Probabilistic Model that incorporates individual health status transitions. We discuss the computational challenges of handling the Personal-Level Integrated Data Asset (PLIDA) and how machine learning techniques can uncover non-linear relationships in health trajectories to improve predictive accuracy.
Date
Aug 15, 2025 1:00 PM — 2:00 PM
Event
Location

Australian National University

Acton, Canberra, ACT 2601