Designing a model to detect diabetes using machine learning: A Survey

  Ms. Komal. Patil,  Dr. S. D. Sawarkar,  Mrs. Swati Narwane

Many of the interesting and important applications of machine learning are seen in a medical organization. The notion of machine learning has swiftly become very appealing to healthcare industries. The predictions and analysis made by the research community for medical dataset support the people by taking proper care and precautions by preventing diseases. Through a set of medical datasets, different methods are used extensively in developing the decision support systems for disease prediction. This paper explains various aspects of machine learning, the types of algorithm which can help in decision making and prediction. We also discuss various applications of machine learning in the field of medicine focusing on the prediction of diabetes through machine learning. Diabetes is one of the most increasing diseases in the world and it requires continuous monitoring. To check this we explore various machine learning algorithm which will help in early prediction of this disease.

Keywords- Diabetes, health care, decision tree, machine learning, applications, classification, approach, algorithm.

Unique Identification Number - IJEDR1902097
Page Number(s) - 512-515
Pubished in - Volume 7 | Issue 2 | June 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ms. Komal. Patil,  Dr. S. D. Sawarkar,  Mrs. Swati Narwane,   "Designing a model to detect diabetes using machine learning: A Survey", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 2, pp.512-515, June 2019, Available at :http://www.ijedr.org/papers/IJEDR1902097.pdf