Studying the combined effects of risk factors via mathematical model on heart attack chances using clinical data

Khaled Mohamed Khedher , Ghulam Murtaza , Muzamal Hussain , Rana Muhammad Akram Muntazir , Mohammed Amien Khadimallah

Abstract

In this paper, a framework that constructs risk factor differential equations and probability functions for heart attack patients, enabling the perception of a patient's heart attack probability is developed. The model has been generalized for n risk factors, but focused on the major three: cholesterol, triglycerides, and sugar levels. The main cause of blockages and clots in heart compartments are the identified risk factors, which increase the likelihood of blockage occurrence. By utilizing 12-patient clinical data, the differential equations and probability functions that accurately predict heart attack probability is constructed using the identified major risk factors.

Key Words

blockage; cholesterol; framework; heart attack; likelihood; sugar levels; triglycerides

Address

Khaled Mohamed Khedher — Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Ghulam Murtaza and Muzamal Hussain — Department of Mathematics, University of Sahiwal, 57000, Sahiwal, Pakistan
Rana Muhammad Akram Muntazir — Department of Mathematics, Lahore Leads University,54792, Lahore, Pakistan
Mohammed Amien Khadimallah — Prince Sattam Bin Abdulaziz University, College of Engineering, Civil Engineering Department, BP 655, Al-Kharj, 11942, Saudi Arabia

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