Patient Readmission Prediction Due to Diabetes using Machine Learning Classification
P. Adlene Ebenzer1, Rishikesh bhattalwar2, Harshit Patel3, Rupesh Kumar4

1Ms. P Adlene Ebenzer, Assistant Professor(O.G) at SRM Institue of Science and Technology.
2Rupesh Kumar, 3rd year Cse Undergraduate Pursuing at SRM Institue of Science and Technology.
3Harshit Patel, 3rd year Cse Undergraduate Pursuing at SRM Institue of Science and Technology.
4Rishikesh Bhattalwar, 3rd year Cse Undergraduate Pursuing at SRM Institue of Science and Technology

Manuscript received on October 14, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 678-681 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4561119119/2019©BEIESP | DOI: 10.35940/ijitee.A4561.119119
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Abstract: Diabetes mellitus is a general illness of body caused due to a group of metabolic disorders and conditions where the sugar level readings over a prolonged period are very high. It affects different organs of the human body which thus harm a large number of the body’s system and tissues to micro level, particularly blood veins, nerves and also skin. It usually occurs when body has malfunctioned pancreas or there is insulin resistance. As there have been huge advancements in machine learning field which is widely used in solving different real life community level problems including health care and also due to presence of vast data from different medical care centres and hospitals which can play an important role in building a machine learning model which can predict weather a person is suffering from diabetes by using data sets from different hospitals and medical care centres. We have collected data from different hospitals over past 10 years where we consider different factors that determine whether admission of a person into hospital is required or not. Depending upon the previous medical history of the person, it can be determined that weather or not the person is readmitted into the hospital and within what time period. Hence in this paper we try to construct a model where we predict weather a person is readmitted to hospital or not .Main focus is to help health care professionals, medicine practitioners and people who suffer from its symptoms improve their treatment process by predicting the chance of the person having diabetes, here by decreasing cost of treatment and enabling the concerned person to be self-aware of their medical condition.
Keywords: Machine learning, Logistic Regression, data Classification, Diabetes.
Scope of the Article: Classification