Hybrid Machine Learning Techniques for Heart Disease Prediction
نویسندگان
چکیده
منابع مشابه
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features
Heart is one of the most important members of the body, and heart disease is the major cause of death in the world and Iran. This is why the early/on time diagnosis is one of the significant basics for preventing and reducing deaths of this disease. So far, many studies have been done on heart disease with the aim of prediction, diagnosis, and treatment. However, most of them have been mostly f...
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Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...
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ژورنال
عنوان ژورنال: International Journal of Advanced Engineering Research and Science
سال: 2020
ISSN: 2349-6495,2456-1908
DOI: 10.22161/ijaers.73.7