THE MACHINE LEARNING-BASED DIABETES PREDICTION TOOL

Abstract

Machine learning methods are widely used in many areas, including engineering, healthcare, manufacturing, finance, transportation, and marketing because of their diversity, applicability, and high performances. Since diabetes mellitus is considered one of the most important health problems of our time, early diagnosis is extremely important to protect public health and reduce various complications caused by the disease. In this study, a new desktop-based clinical decision support software tool was developed to predict diabetes using numerous different machine learning algorithms. This feature-rich prediction tool aims to enable decision-makers to detect diabetes easily, quickly, and effectively with many machine learning models by generating individual risk probabilities. 

Keywords

• Machine learning
• Deep learning
• Diabetes
• Prediction tool

Makine Öğrenimi Tabanlı Diyabet Tahmin Aracı

Abstract

Makine öğrenimi yöntemleri; çeşitlilikleri, uygulanabilirlikleri ve yüksek performansları nedeniyle mühendislik, sağlık, üretim, finans, ulaşım ve pazarlama gibi birçok alanda yaygın olarak kullanılmaktadırlar. Diyabet, günümüzün en önemli sağlık sorunlarından biri olarak kabul edildiğinden, halk sağlığını korumak ve hastalığın neden olduğu çeşitli komplikasyonları azaltmak için erken teşhis son derece önemlidir. Bu çalışmada, çok sayıda farklı makine öğrenimi algoritması kullanarak diyabet tahmini gerçekleştiren yeni bir masaüstü tabanlı klinik karar destek yazılım aracı geliştirilmiştir. Birçok özelliğe sahip bu tahmin aracı, bireysel risk olasılıkları üreterek karar vericilerin birçok makine öğrenimi modeli kullanarak diyabeti kolayca, hızlı ve etkili bir şekilde tespit etmelerini sağlamayı amaçlamaktadır.

Keywords

• Makine öğrenimi
• Derin öğrenme
• Diyabet
• Tahmin aracı

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