Citation

Sahoo, Santosh Kumar and Mohapatra, Sumant Kumar and Mohapatra, Srikanta Kumar and Prabha, Chander and Mohanty, Jayashree and Sahadevan, Deepudev and Yogarayan, Sumendra and Balusamy, Balamurugan (2026) Synthetic Comparative Analysis of Cardiovascular Disease Profiles Using Quantum Information Measures in Indian and Global Populations. Diagnostics, 16 (17). p. 2878. ISSN 2075-4418

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Abstract

Background/Objectives: Cardiovascular diseases (CVDs) represent the foremost public health challenge of recent days. According to the World Health Organization (WHO), nearly 32% of people die from CVDs each year. This paper introduces a quantum-inspired, information-theoretic framework for comparing CVD risk-factor architectures in modeled Indian and global populations. Methods: Each synthetic population is represented as a population state matrix (

Item Type:	Article
Uncontrolled Keywords:	cardiovascular, quantum, population, hypertension
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	01 Oct 2026 06:12
Last Modified:	01 Oct 2026 06:12
URII:	http://shdl.mmu.edu.my/id/eprint/16783

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