STUDY OF FRAMEWORK OF PREDICTIVE DATA MINING FOR MEDICAL DATA?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.4, No. 1)
Publication Date: 2015-01-30
Authors : Rahul Pahlajani; Shrikant P. Akarte;
Page : 58-63
Keywords : Data mining; medical data; Clinical prediction rules (CPRs); Diagnosis; Framework;
In health organization Data Mining is one of the most causative fields of research that is become more and more popular. Data Mining plays an important role for bringing out new veers in healthcare organization which in turn useful for all the parties associated with this field. An important role is played by clinical prediction rules in medical practice. They hasten diagnosis and the unnecessary tests are limited. However, the process of rule creation is time consuming and costly. The automated rule induction from data supports the creation of clinical rules, with the current developments of efficient data mining algorithms and growing accessibility to medical data. This paper presents the depth and role of the research area of predictive data mining and to discuss available framework to cope with the problems of constructing, assessing and exploiting data mining models in clinical medicine.
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Last modified: 2015-01-08 19:19:54