Big Data Analytics Based Data Driven Public Health Care System For Heart Disease Detection

Authors

  • Dr. F Rahman Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India.
  • Lalnunthari Research Scholar, Department of CS & IT, Kalinga University, Raipur, India

DOI:

https://doi.org/10.70135/seejph.vi.854

Keywords:

Heart Disease, Artificial Intelligence (AI), Machine Learning

Abstract

Everyone should be more conscious of their lifestyle choices in order to live a healthy life. This can be done by following appropriate eating plans, being aware of healthcare issues, and knowing how to maintain good health. The health sector produces enormous amounts of electronic data every second in the present digital era, making it extremely difficult to store and manage the data using traditional software and technology. Additionally, the impending data is generated in varied forms, such as semi-structured, unstructured, and/or structured. The rate at which data are evolving and their abundance necessitate an overwhelming amount of health care data. Thus, it appears that health-related data can be handled using big data. This study demonstrates how quickly things are evolving, resulting in the creation of several approaches and continuous research into fixes for issues that crop up in a range of industries.

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Published

2024-09-02

How to Cite

Rahman, D. F., & Lalnunthari. (2024). Big Data Analytics Based Data Driven Public Health Care System For Heart Disease Detection. South Eastern European Journal of Public Health, 321–326. https://doi.org/10.70135/seejph.vi.854