AI, ML and Friends Seminar - Talk
Aug 15, 2025·
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0 min read
Pramo Samarasinghe
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