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 and 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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