Análise Estatística no Diagnóstico de Doenças Cardíacas

Abstract

In health area are needed mathematical methods that allow to affirm or to deny, starting from clinical data, the influence or not of certain symptom in the development or emergence of a disease. The hypothesis Test is a statistical method that allows to evaluate samples or to compare samples of independent populations. In this work is presented the analysis of a database on heart diseases diagnosis using the hypothesis test seeking to determine which symptoms influence in the percentage of artery narrowing. For that, the database of heart diseases, available in the repository of data of UCI Machine Learning Repository, is used.