This paper is published in Volume-3, Issue-6, 2017
Area
Data Mining
Author
Pradeep Nayak, Sayeesh
Org/Univ
Alva's Institute of Engineering and Technology, Mangalore, Karnataka, India
Pub. Date
27 December, 2017
Paper ID
V3I6-1452
Publisher
Keywords
Medical Data; Data Mining Tasks; Data Mining Functions on Medical Data Approach; Data mining techniques; Uniqueness of medical facts.

Citationsacebook

IEEE
Pradeep Nayak, Sayeesh. A Survey on Medical Data by using Data Mining Techniques, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pradeep Nayak, Sayeesh (2017). A Survey on Medical Data by using Data Mining Techniques. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.

MLA
Pradeep Nayak, Sayeesh. "A Survey on Medical Data by using Data Mining Techniques." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.

Abstract

Data mining is a vital region of research and is practically utilized as a part of various areas like back, clinical research, instruction, human services and so on. Data mining is an imperative zone of research and is even-mindedly utilized as a part of various areas like the fund, clinical research, training, social insurance and so forth. Truth be told, the assignment of data extraction from the medicinal information is a testing attempt and it is a perplexing errand. The principle intention of this audit paper is to give a survey of data mining in the domain of medicinal services. In fact, the task of knowledge extraction from the medical data is a challenging endeavor and it is a complex task. The main motive of this review paper is to give a review of data mining in the purview of healthcare. Moreover, intertwining and interrelation of previous researchers have been presented in a novel manner. Furthermore, merits and demerits of frequently used data mining techniques in the domain of healthcare and medical data have been compared. The use of different data mining tasks in health care is also discussed. An analytical approach regarding the uniqueness of medical data in healthcare is also presented.