  Burden of disease measures the impact of living with illness and injury and
dying prematurely and it is increasing worldwide leading cause of death both
global and national. This paper aimed to propose an index of diseases and
evaluate a mathematical model to describe the number of burden of disease by
cause in the Philippines from 1990 - 2016. Through Principal Component Analysis
(PCA) the diseases categorized as: passed on diseases, vector born diseases,
non-communicable diseases, accident, and intentional. Symbolic Regression
Analysis was carried out, the study revealed that the number of burden of
disease as categorized using CPA will continue decrease up to year 2020 except
on non-communicable disease.
