IJAETS, Volume: 1, Issue: 1, October 2015 © IJAETS, 2015 Page | 17 Decision Support System in Diabetes Disease with Providing Health Care Services Prof. Jigna Patel 1 , Dr. Priyanka Sharma 2 1 Department of Computer Science and Engineering Nirma University, Gujarat, India jigna.patel@nirmauni.ac.in.com 2 Raksha-Shakti University, Gujarat, India pspriyanka@yahoo.com Abstract—Decision support System in diabetes to improve the life of patients who are suffering from diabetes disease. Disease improvement is one of the applications where Data Mining techniques are showing effective results. Data Mining techniques have been widely used to mine knowledgeable information from medical database. Most countries face high and extending rates of Diabetes Disease. Diabetes is the main reason behind death all around all through the world in the previous ten years. This thesis covers the different fields of decision support system for the diabetes patients. The objective of the study of health care system to explore new and emerging areas of data mining for the data mining techniques. Function performed and algorithms used in these tools have been analyzed. Disease diagnosis is one of the application where data mining tools are proving successful result. Computer based information along with advanced Data mining techniques are used for appropriate results. The system needs patients information and gives them advice according to their condition entered by them. It also provides adequate and detail information about the patient to the health-care providers that help them to take an optimal decision. Diabetes disease is the leading cause of death all over the world in the past ten years. Several researchers are using statistical and data mining tools to help health care professionals in the diagnosis of Diabetes disease. Keywords: Data Mining; Decision Support System; Health care;Health records; I. INTRODUCTION Data mining is defined as the process of automatically discovering useful information in large data repository.Nowadays Computer system and automated system is used in all fields of life to make life easy whether you are at home or at office [1]. Advancement in technology is increase day by day to make life easy. computer technology in health care is an old thing but there is some area in which computer can help for better life. So our target is to those patients who are suffering from diabetes disease [2]. Diabetes is one of the dangerous disease, if the correct instruction is not followed then patients will suffer a lot. So best instruction and daily instruction is needed for diabetes patients [1]. Today most countries face high and increasing rates of Diabetes disease and it has become a leading cause of debilitation and death worldwide in men and women over age sixty-five and today in many countries Diabetes disease is viewed as a second epidemic replacing infectious diseases as the leading cause of death (Gale Nutrition Encyclopedia, 2011). It is not possible for patients to visit hospital daily and get information from doctors about their sugar level and all information regarding their diseases [3]. On the other hand treating diabetes disease is very expensive and difficult because there are numerous things to record about the patients like blood sugar level,dietplan,exercise,diet taken and lots of other thing which are helpful to them [4]. So decision support system in diabetes is one of the solution so that it can help to the patients as well as doctors.Decision support system help patients and give advice about their life style. So this kind of decision support system will reduce the unnecessary hospital visit of the patients and as well as the time. The objective of the study is the give 24 hours health care service to the patients so that we can improve the life of patients. Data mining techniques can be used for data selection,finding patterns and generates the output of the diabetes using large data sets [3]. In health care management,data mining techniques are increasingly being used due to its inherent characteristic of finding hidden pattern. application of web technology to health care for remote patients are current topic of interested in future research and also useful for preventive medicine to improve health [5]. Web application server provides a data mining service and notifies user of important rules