Abstract

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:

Cardio Data (Kaggle Dataset)
Cleveland (UCI Machine Learning Repository)
Hungarian (UCI Machine Learning Repository)

Instructions:

This dataset can be used for building a predictive machine learning model for early-stage heart disease detection.

Comments

sasa

Submitted by jeet umat on Fri, 10/01/2021 - 05:36

thanks

Submitted by Ma. Sheila Magboo on Thu, 10/14/2021 - 12:31

thanks

Submitted by Jinjae Lee on Tue, 11/16/2021 - 06:53

Submitted by Vaibhav Pendke on Sun, 03/05/2023 - 03:19

thx

Submitted by Chong Shao on Fri, 11/03/2023 - 22:47

good

Submitted by Syahrul A.Md. STAT on Thu, 12/07/2023 - 20:15

Good

Submitted by Aina Khan on Mon, 02/12/2024 - 05:22

Good

Submitted by Amrul Zaki on Mon, 09/16/2024 - 22:59

Dataset Files

Cardio_Data.csv (2.73 MB)
Cleveland_Data.csv (11.05 kB)
Hungarian_Data.csv (11.15 kB)

Documentation

Attachment	Size
Documentation.docx	14.77 KB

Datasets

Standard Dataset

Cardiovascular Disease Dataset

Abstract

Comments

Dataset Files

Documentation

QUESTIONS?