Diagnosis of factors affecting heart disease using discriminatory analysis

Abstract

The research aims to build a probabilistic model to distinguish between the variables
causing heart patients and classify them into two groups (infected and non-infected),
as well as classification of variables and vocabulary being studied in the future as well
as to identify the most important factors affecting heart disease.
The research was applied to a sample of (30) people in Ibn Al Nafees Hospital.
Finally, the research reached the efficiency of the model used in the research in terms
of the low error rate in the wrong classification.