Prediabetic Condition of Patient Detection System using Fuzzy Set Theory Himal Chitara Dept. of Biomedical Engineering U. V. Patel College of Engineering Ganpat University Kherva, Mehsana, Gujarat, India Prof. Raksha K Patel Dept. of Biomedical Engineering U. V. Patel College of Engineering Ganpat University Kherva, Mehsana, Gujarat, India Prof. Tejas V Bhatt Dept. of Biomedical Engineering U. V. Patel College of Engineering Ganpat University Kherva, Mehsana, Gujarat, India Abstract— In the current era, the diabetes mellitus which causes of unbalanced diet, busy schedule and standard of living. The main reason to produce diabetes is either deficiency to produce insulin or deficiency in use of insulin by the specific tissues. Pre-deterministic method is to diagnose the risk assessment of diabetes to patient. The main purpose is fuzzy set theory used for prediction and forecasting of diabetes diagnostic. An author has certain 6 input parameters such as BMI, RBS, FBS, OGTT, PPBS, Hemoglobin A1c and single output parameter such as pre-diabetic and diabetic conditions for this diagnostic system. This diagnostic system is based on fuzzy rules. Output defines pre-diabetes, or type 1 diabetes or type 2 diabetes conditions helpful for diagnosis procedure in day to day routine. Keywords— Diabetes mellitus, Fuzzy set theory, Prediabetes, Body mass index, Haemoglobin A1c test I. INTRODUCTION Diabetes mellitus is one of the most common diseases in the current era[1]. An oldest disease in the world is a diabetes disease. Diabetes is a metabolic disorder characterized by the presence if the chronic hyperglycemia accompanied by greater or lesser impairment in the metabolism of carbohydrates, lipids, and proteins[2]. Pancreas is part of endocrine, produces 2 types of hormones such as insulin and glucagon for balancing blood sugar level. Diabetes is a condition in which either blood sugar is increases due to insufficient secretion of insulin or blood sugar is decreases due to not use of insulin properly. Person which have symptoms like polyuria, polydipsia, polyphagia, vision threatening, weight loss, impaired healing and exhaustion. People with type 1 diabetes can’t produces insulin properly and type 2 diabetic patients doses not produce enough insulin[3]. From this disease, patient’s also suffering from other diseases such as retinopathy, cardiovascular, nephropathy, and neuropathy. Types of diabetes such as type 1, type 2, pre-diabetes, gestational diabetes, diabetes jenuvile and diabetes insipidus[1]. 457 million people worldwide suffering from diabetes as per the WHO states[4]. As per the WHO , in 2004, 3.4 million people died from FBS; and in 2015, 457 million people; in 2014, 4.2 million people suffering from diabetic retinopathy. In India, 1lakh children are suffering from diabetes because of unbalanced diet, and living standards. In 2019, as per the newspaper survey 1 lakh children are suffering from diabetes in current era; 1lakh from every 10 children are suffering from type 1 diabetes. In Chennai 26% children’s are diagnosed by diabetes diseases in 2019. In the current era, old men, children and young aged peoples are suffering from diabetes diseases. If diabetic patients can’t cure properly then patient may go in coma. If diabetic patients can give proper treatment at a time then it has a chance to cure sometimes. Artificial intelligence has subset of fuzzy set theory, machine learning, data science and image processing, and these techniques are developing in current era. It is used in every field such as mechanical, electrical, aerospace and medical applications[5]. For the medical field, easy and accurate technique is fuzzy set theory. Author has do retrospective study in Ahmedabad city. Diabetes diagnosed in 508 people every month from that 80 people is suffering from this disease. Fig1: Prevalence of diabetes in ahmedabad. From the 80 people of diabetic 23people are suffering from diabetes diseases. In 2018-2019, ratio of pre-diabetic patients is 19%, type 1 diabetes is 50% and type 2 diabetes is 31%. IJERTV9IS040090 (This work is licensed under a Creative Commons Attribution 4.0 International License.) www.ijert.org 69 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 http://www.ijert.org Published by : Vol. 9 Issue 04, April-2020