Machine Learning Model for Prediction of Diabetes Mellitus
Manjiri Mahadev Mastoli1, Urmila R. Pol2, R.D.Patil3
1Manjiri Mahadev Mastoli*, Research Scholar, Department of Computer Science Shivaji University Kolhapur, Maharashtra.
2Dr.Urmila R. Pol, Assistant Professor, Department of Computer Science, Shivaji University Kolhapur, Maharashtra, India Mr.Rahul D.Patil, Quality Assurance Engineer, Menon Bearing Ltd, Kolhapur, Maharashtra.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2376-2381 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5916018520/2020©BEIESP | DOI: 10.35940/ijrte.E5916.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today world is extensively affected by endocrine disease Diabetes Mellitus which is commonly known as diabetes. There is a need for an effective model which can predict diabetes and its types at the early stages with accuracy. To improve the accuracy of prediction and to achieve better efficiency, a new Machine Learning based Model (MLM) is proposed. This Machine Learning Model (MLM) has ability to predict the diabetes and its categories as type 1, type 2 and Gestational diabetic with which the patient is suffering from. The proposed Machine Learning Model is innovative for diagnosis of diabetes is more accurate as compared to other existing approaches. This is a novel method from which one can combine power of an expert system with the machine learning environment.
Keywords: Artificial intelligent (AI), Machine Learning Model(MLM), Knowledge-base, Diabetes mellitus (DM), Decision Tree Algorithm.
Scope of the Article: Machine Learning.