Analysis and modeling of disease development and optimization of screening policies

The question of optimizing health care resources in developed countries has recently increased in importance. The aging population and the accompanying increase in old-age diseases such as cancers, diabetes, heart disease and others are expected to increase the strain on the resources of health care systems. However, since the cost of curing many diseases in their early stages is much lower than in their later stages, screening policies, if implemented efficiently, will decrease the unnecessary strain on the health care system, thus lowering congestion. The goal of this project is to use the research results in the literature concerning breast cancer, and combine and augment them to produce and implement a model for end users. The resulting software can be used as a tool by policy analysts and health care professionals to compare and optimize proposed screening strategies.

Faculty Supervisor:

Dr. Viliam Makis

Student:

Konstantin Shestopaloff

Partner:

SegmentSoft Inc.

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

University of Toronto