Data Mining Technology and Techniques in Medical Science Field Application
Namratha Gonuguntla1, Swarnalatha P2
1Gonuguntla Namratha, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Swarnalatha P, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 280-286 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10531291S319/19©BEIESP | DOI: 10.35940/ijeat.A1053.1291S319
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Abstract: The electronic and the written records both played an equally significant part in the daily lives of the health department staffs. However, after the globalised version of change in the healthcare department, it has been recorded by the researcher in his examination a portion of the fundamental focuses that demonstrate the genuine advantage of the information and the dangers. Consequently in this report, the analysts will show unmistakably the Data mining procedure and its different focuses. The primary focal point of the investigation is needy upon the Nursing work, and in this manner various health care centres and the nurses will be taken under consideration. The report additionally examines about the data mining subject’s experience and how it rose in the therapeutic science field of capacity. The information that are dealt with in the framework has changed into a making care each. It has been noticed that information mining is considered to all computer-based information stockpiling and recovering method. The approach of the digital form of data gathering will also be explained and along with it will also showcase some critical points that are co-related with the findings and analysis. In the end, the researcher will provide its own recommendation for the betterment of the nursing in the medical science field of capacity.
Keywords: Administration, Analytics, Diagnosis, Healthcare and Nursing.
Scope of the Article: Data Mining