Understanding Indirect Effects through Risk Factors and Stroke Prevention with the Support of Sujatha Distribution

Abstract

Worldwide, heart attacks and strokes claim the lives of almost 12 million individuals each year. A stroke is similar to a heart attack in that it affects the brain rather than the heart. A stroke happens when the blood supply to a section of the brain is unexpectedly cut off. Depending on the area of the brain that is afflicted, disability is brought on by a shortage of blood flow as brain cells progressively perish. A healthy life and stroke prediction can both be supported by early symptom diagnosis. A new one-parameter lifetime distribution called the Sujatha Distribution with an increasing hazard rate has been proposed. The shock model method presented in this paper estimates the expected time for stroke patients to reach the threshold level. MathCAD software was used to test the theory generated using simulated data. The parameter  increases, and the predicted time is also observed to be reducing.