This heart disease dataset is curated by combining 3 popular heart disease datasets. The first dataset (Collected from Kaggle)  contains 70000 records with 11 independent features which makes it the largest heart disease dataset available so far for research purposes. These data were collected at the moment of medical examination and information given by the patient. Second and third datasets contain 303 and 293 intstances respectively with 13 common features. The three datasets used for its curation are:

  1. Cardio Data (Kaggle Dataset)

DOI Link: 
10.21227/7qm5-dz13
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[1] Rajib Kumar Halder, "Cardiovascular Disease Dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/7qm5-dz13. Accessed: Oct. 07, 2024.
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doi = {10.21227/7qm5-dz13},
url = {http://dx.doi.org/10.21227/7qm5-dz13},
author = {Rajib Kumar Halder },
publisher = {IEEE Dataport},
title = {Cardiovascular Disease Dataset},
year = {2020} }
TY - DATA
T1 - Cardiovascular Disease Dataset
AU - Rajib Kumar Halder
PY - 2020
PB - IEEE Dataport
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Rajib Kumar Halder. (2020). Cardiovascular Disease Dataset. IEEE Dataport. http://dx.doi.org/10.21227/7qm5-dz13
Rajib Kumar Halder, 2020. Cardiovascular Disease Dataset. Available at: http://dx.doi.org/10.21227/7qm5-dz13.
Rajib Kumar Halder. (2020). "Cardiovascular Disease Dataset." Web.
1. Rajib Kumar Halder. Cardiovascular Disease Dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/7qm5-dz13
Rajib Kumar Halder. "Cardiovascular Disease Dataset." doi: 10.21227/7qm5-dz13