Heart Disease Prediction by Using Machine Learning Algorithms
| Autor: | Selda Guney, Alperen Erdogan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.diagnostic_test
Heart disease business.industry Nausea 05 social sciences Feature extraction 050301 education 02 engineering and technology Machine learning computer.software_genre Chest pain medicine.disease Support vector machine 0202 electrical engineering electronic engineering information engineering medicine Palpitations 020201 artificial intelligence & image processing Artificial intelligence Medical diagnosis medicine.symptom business 0503 education Electrocardiography Algorithm computer |
| Zdroj: | SIU |
| DOI: | 10.1109/siu49456.2020.9302468 |
| Popis: | Nowadays, one of the most important illness is heart disease which cause of mostly patients dead. Medical diagnosis of heart diseases is very difficult. While heart diseases are diagnosed medically, they can be confused with other diseases that show same symptoms such as chest pain, shortness of breath, palpitations and nausea. This makes it difficult to diagnose heart diseases medically. In this study, the presence of heart diseases was determined by using machine learning algorithms. In this study, the data obtained from the patients were weighted according to their effects on the success rate. In this study, a method is proposed for determine weight coefficient. According to proposed method's results, 86,90% success was achieved with 13 different features obtained from the patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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