BYU

Abstract by David Kartchner

Personal Infomation


Presenter's Name

David Kartchner

Co-Presenters

Seth Glazier

Degree Level

Masters

Co-Authors

Seth Glazier
Tanner Christensen

Abstract Infomation


Department

Computer Science

Faculty Advisor

Jeffrey Humpherys

Title

Predicting Disease Onset via Learned Patient Representations

Abstract

With healthcare costs consuming an ever increasing proportion of the economy, hospital systems need to switch to preventative treatment to help patients and stay competitive.  We provide a comprehensive survey of machine learning models on disease prediction tasks and identify novel means of learning joint representations of patient demographics and irregularly spaced time series representing encounters.  We further demonstrate how using cost as a proxy for disease severity can notably improve disease prediction outcomes.