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Advances in Nano Research Volume 18, Number 6, June 2025 , pages 599-607 DOI: https://doi.org/10.12989/anr.2025.18.6.599 |
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Studying the combined effects of risk factors via mathematical model on heart attack chances using clinical data |
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Khaled Mohamed Khedher, Ghulam Murtaza, Muzamal Hussain, Rana Muhammad Akram Muntazir and Mohammed Amien Khadimallah
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| 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 | ||