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Volume 10, Issue 7, July (2020)                                            Cover Page and Table of Contents

S.No Title & Authors Full Text
1 Data Mining Approaches Used in Healthcare - A Review
M. Sivasubramaniyan, N. Karthikeyani Visalakshi
Abstract - According to a report from the World Health Organization (WHO), in recent years, Non-Communicable Diseases (NCDs) have identified as the leading cause of death worldwide. Because these NCDs have considered highly controllable and preventable, the WHO has announced that the rapid and the early prognosis of these diseases will help to patients prevent from death and reduce treatment cost. Now, data mining techniques have the capability to handle large volumes of data in all sectors, including the healthcare sector and identify the problem across sectors and provide the optimal solution with the best accuracy. The main aim of this article is to present an overview of the current researches titled "Data Mining approaches used in Healthcare" and discussing the algorithms and techniques of data mining in the early detection of diseases. This paper presents a review on the use of data mining strategies for disease prognosis. An efficient review of the literature has conducted in the academic and scientific databases that taking into account the date of publication of the articles titled data mining techniques used in healthcare from 2015 to 2019. To achieve the review process, all selected articles have categorized by publication year, the objectives of the research, tools used to build a model, the type of diagnosis, the parameters used to improve the diagnosis, and the dataset used. Therefore, this article presents an overview of the literature on data mining used in the healthcare industry and the appropriate ideas for conducting research in early diagnosis using data mining strategies in the future.
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