Cardiovascular disease
This study presents a comprehensive dataset to analyze risk factors associated with cardiovascular disease. The dataset comprises various patient attributes, including gender, age, total cholesterol, HDL (high-density lipoprotein), triglycerides, non-HDL (non-high-density lipoprotein), NIH-Equ-2, and direct LDL (low-density lipoprotein). These attributes comprise 25,991 patient data, robustly representing a large population sample.
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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:
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Cardio Data (Kaggle Dataset)
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This heart disease dataset is curated by combining 5 popular heart disease datasets already available independently but not combined before. In this dataset, 5 heart datasets are combined over 11 common features which makes it the largest heart disease dataset available so far for research purposes. The five datasets used for its curation are:
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55107 Views