Exploratory Data Analysis of Cardiovascular Diseases

Cardiovascular diseases (CVD’s) are disorder of the heart and blood arteries that are becoming a major cause of death and a global issue. Several aspects of the CVD epidemic in India are particularly worrying, including its rapid increase, the early onset of disease in the population, and the high case fatality rate. Statistical analysis is essential for predicting and detecting the risk of cardiovascular diseases, helping to raise awareness among the public. In healthcare sector, there is wealth of available data, but is the need to extract correct information from it to enhance medication discovery, diagnosis, treatment and overall care. Exploratory Data Analysis (EDA) helps in understanding the insights of dataset. In this research paper, we have used publically available UCI (University of California, Irvine) heart disease dataset for study. These findings provide valuable insights into the epidemiology of CVD and can inform targeted interventions for its prevention and management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15533329
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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Exploratory Data Analysis of Cardiovascular Diseases

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare
article

Exploratory Data Analysis of Cardiovascular Diseases

article en

Abstract

Cardiovascular diseases (CVD’s) are disorder of the heart and blood arteries that are becoming a major cause of death and a global issue. Several aspects of the CVD epidemic in India are particularly worrying, including its rapid increase, the early onset of disease in the population, and the high case fatality rate. Statistical analysis is essential for predicting and detecting the risk of cardiovascular diseases, helping to raise awareness among the public. In healthcare sector, there is wealth of available data, but is the need to extract correct information from it to enhance medication discovery, diagnosis, treatment and overall care. Exploratory Data Analysis (EDA) helps in understanding the insights of dataset. In this research paper, we have used publically available UCI (University of California, Irvine) heart disease dataset for study. These findings provide valuable insights into the epidemiology of CVD and can inform targeted interventions for its prevention and management.

Zenodo (CERN European Organization for Nuclear Research)
Ramakrishna Mission Vidyamandira (IN), Savitribai Phule Pune University (IN)
Good health and well-being
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare
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