Several implications for forecasting a brain attack utilizing mathematical techniques

Abstract

The human brain is unquestionably the most complex organ in the body and is acknowledged as the body’s control station. The wellness of this control station is depends on several human related factors. The uncontrolled behavior of this factors may cause brain stroke. In this study, survey data from 24,400 brain stroke patients are considered, along with important possible confounders such as age, gender, hypertension, heart disease, sugar, BMI, and smoking. Initially the association with this parameters with stroke were tested. Regression analysis was then performed to produce the projected model based on the data and its accuracy was tested.