Prognosticating of cardiovascular disease using machine learning algorithms
| Autor: | Shridhar Kumar Thakur, Srinivasan Sriramulu |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :5174-5186 |
| ISSN: | 2550-696X 2550-6978 |
| DOI: | 10.53730/ijhs.v6ns5.9756 |
| Popis: | Machine learning (ML) is such an application of the artificial intelligence, which has been outstanding in the field of research in modern science and technologies. In this paper it is explained how a machine can determine if a person is suffering from the cardiovascular disease or not. Heart disease has become so common that many people suffer from heart disease across the world, and even lose their lives. By considering certain factors such as chest pain, cholesterol level, a person's age and other factors a machine can determine whether the person has cardiovascular disease or not. Different supervised learning algorithms has been used in this paper in subject to make diagnosis of heart disease uncomplicated. |
| Databáze: | OpenAIRE |
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