ISSN 2394-5125
 

Research Article 


SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION

Mohit Burkule, Neha Thipse, Vivek Bulani,Chirag Khachane,Reena Kharat.

Abstract
Diabetes can be simply defined as the disorder/ state in human body where body cannot effectively use insulin produced . It is always beneficial to recognize diabetes as soon as possible as it reduces the risk of ailments such as heart related diseases, kidney related problems, eye diseases and even brain stroke, etc. By year 2025 there will be about 299.1 millions of diabetics.Developing countries like India will contain about 80% of the diabetics. With the development of technology, it is now possible to predict such diseases. In our research, we have studied the use of machine learning technologies to predict diabetes. From India related to this topic there are approximately3068 papers. Diabetes prediction comes under classification and supervised machine learning techniques are used. Different models used for this purpose are hierarchical clustering, SVM, Nave Bayes, K Means, etc. Different models have different accuracies in the range 70% to 99%.

Key words: Classification, Random Forest, SVM, KNN, Nave Bayes, diabetes, pima Indian diabetic dataset, Clustering, Hierarchical Clustering,Diabetic Classification, Pima Indian Diabetic Dataset, Sawanpracharak Region Hospital dataset.


 
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How to Cite this Article
Pubmed Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. JCR. 2020; 7(19): 1113-1119. doi:10.31838/jcr.07.19.138


Web Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. http://www.jcreview.com/?mno=104092 [Access: July 17, 2020]. doi:10.31838/jcr.07.19.138


AMA (American Medical Association) Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. JCR. 2020; 7(19): 1113-1119. doi:10.31838/jcr.07.19.138



Vancouver/ICMJE Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. JCR. (2020), [cited July 17, 2020]; 7(19): 1113-1119. doi:10.31838/jcr.07.19.138



Harvard Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat (2020) SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. JCR, 7 (19), 1113-1119. doi:10.31838/jcr.07.19.138



Turabian Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. 2020. SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. Journal of Critical Reviews, 7 (19), 1113-1119. doi:10.31838/jcr.07.19.138



Chicago Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. "SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION." Journal of Critical Reviews 7 (2020), 1113-1119. doi:10.31838/jcr.07.19.138



MLA (The Modern Language Association) Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat. "SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION." Journal of Critical Reviews 7.19 (2020), 1113-1119. Print. doi:10.31838/jcr.07.19.138



APA (American Psychological Association) Style

Mohit Burkule, Neha Thipse, Vivek Bulani ,Chirag Khachane ,Reena Kharat (2020) SURVEY OF MACHINE LEARNING ALGORITHMS FOR DIABETES DETECTION. Journal of Critical Reviews, 7 (19), 1113-1119. doi:10.31838/jcr.07.19.138





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