Heart Failure Prediction.zip
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure.
Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies.
People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.
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追加情報
| フィールド | 値 |
|---|---|
| 最終更新日 | 2024年10月8日 |
| メタデータ最終更新日時 | 2024年10月8日 |
| 作成日 | 2024年10月8日 |
| データ形式 | ZIP |
| ライセンス | Creative Commons Attribution |
| Datastore active | False |
| Has views | False |
| Id | cd9fcdb8-8e5a-4bc6-92e2-3bd87aef788b |
| Mimetype | application/zip |
| Package id | 8db62e27-cc84-4da4-a7bb-fde0867df4a8 |
| Position | 0 |
| Size | 3.9 KiB |
| State | active |
| Url type | upload |