Heart-Disease-Prediction
OpenML dataset with id 43823
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102648/Heart-Disease-Prediction.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 14 (numeric: 13, symbolic: 0 and in total binary: 0 )
Number of instances: 270
Number of instances with missing values: 0
Number of missing values: 0
Context: The leading cause of death in the developed world is heart disease. Therefore there needs to be work done to help prevent the risks of of having a heart attack or stroke.
Content: Use this dataset to predict which patients are most likely to suffer from a heart disease in the near future using the features given.
Acknowledgement: This data comes from the University of California Irvine's Machine Learning Repository at https://archive.ics.uci.edu/ml/datasets/Heart+Disease.
This page was built for dataset: Heart-Disease-Prediction
