Addressing Cardiovascular Health Disparities: From Modifiable Risks to Primary Care Interventions

• Author(s): Saranya Raj ; Nikhil tiwary; Aman kumar
• Paper ID: 1712914
• Page: 1217-1220
• Published Date: 16-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 6 December-2025

Abstract

heart disease, also known as CVD, is the biggest reason people lose their lives in India. These complications may show clear signs or remain silent without any visible signs. Stopping them, identifying them early, and treating them on time are required to avoid poor quality of life and reduce the risk of death. A lot of research has shown that AI models can accurately predict stroke and coronary artery disease. These improvements for AI and machine learning are meant to do more than just help with early detection; they are also meant to make health interventions more personal. Researchers are still working on improving these technologies. There are also no studies that look at the causal links between the lifestyle factors that were used to make predictions. So, the goal of this study was to look at a lot of different causal links to see how certain lifestyle habits affect the risk of CVD. We used data from metabolic syndrome screening in the general population to build a prediction model for CVD in this study.

Keywords

Cardiovascular Disease, AI Models, Machine Learning, Prediction, Metabolic Syndrome

Citations

IRE Journals:
Saranya Raj , Nikhil tiwary, Aman kumar "Addressing Cardiovascular Health Disparities: From Modifiable Risks to Primary Care Interventions" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1217-1220 https://doi.org/10.64388/IREV9I6-1712914

IEEE:
Saranya Raj , Nikhil tiwary, Aman kumar "Addressing Cardiovascular Health Disparities: From Modifiable Risks to Primary Care Interventions" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712914