Personalized Cardiac Health Threat Prediction System: Enhancing Individual Health Insights

Authors

  • KAVITHA.M, Dr. N.GNANASANKARAN, Dr.A.JOHN SANJEEV KUMAR, Dr.T.S.VENKATESWARAN, Dr. G.RAKESH

Keywords:

Cardiac illness, Threat predictive analysis Personalized health, Machine leaming, Preventive healthcare, Cardiovascular health

Abstract

The Personalized predictive analysis of Cardiac illness threat may crucial in support of effective preventive interventions and improved patient outcomes. In this study, we propose a novel approach utilizing the Nearest Neighbourhood hood Schema in support of personalized Cardiac illness threat predictive analysis. Leveraging a comprehensive dataset comprising demographic information, clinical measurements, lifestyle Aspects, and medical history, we employ the KNN schema onto generate individualized threat assessments in support of patients.

References

Lutimath, N. M., Chethan, C., & Pol, B. S. (2019). Prediction of heart illness using machine leaming. International joumal Of Recent Technology and

Engineering. 8(2), 474-477.

S. Sangeetha, K. Baskar, P. C. D. Kalaivaani and T. Kumaravel, "Deep Learning- based Early Parkinson's Illness Detection from Brain MRI Image," 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 490-495, doi: 10.1109/ICICCS56967.2023.10142754

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Published

2024-01-02

How to Cite

KAVITHA.M, Dr. N.GNANASANKARAN, Dr.A.JOHN SANJEEV KUMAR, Dr.T.S.VENKATESWARAN, Dr. G.RAKESH. (2024). Personalized Cardiac Health Threat Prediction System: Enhancing Individual Health Insights. Journal of Computational Analysis and Applications (JoCAAA), 34(1), 1–8. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1654

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