… in the health system, machine learning algorithms and data mining techniques … machine
learning algorithms with thyroid disease. The goal of this study is to categorize thyroid disease …

… disease) are picked up from UC Irvine machine learning … 84.07% accuracy is attained for
heart disease. For data set of … Theory (RS) are the classification algorithms that are used in …

… This study surveyed some machine learning techniques to predict the liver disease. …
classification. The hybrid technique could be successfully used to help the diagnosis of liver disease. …

… of heart disease plays a … disease and the system is based on machine learning techniques.
The system is developed based on classification algorithms includes Support vector machine…

… five types of machine learning classification techniques for recognition of plant disease is
done in this review. SVM classifier is used by many authors for classification of diseases when …

… diagnosing heart disease. We start by overviewing the machine learning and describing brief
definitions of the most commonly used classification techniques to diagnose heart disease. …

… data mining tools using machine learning techniques to classify cardiovascular disease. …
Neural Network is the best model for heart disease classification, it was the most accurate and …

… sources for machine learning generation. In this paper, various machine learning algorithms
… a comparative analysis to better predict the disease based on parameters established from …

… classify patients into those with or without a specific disease. … classifying patients according
to disease etiology or subtype. … classification methods with that of conventional classification …

… They presented various machine learning algorithms for Parkinson’s disease classifications
based on the UCI Spiral dataset of Parkinson’s disease. The results showed that …