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