Information Retrieval Application of Text Mining Also on Bio-Medical Fields
JOURNAL OF CRITICAL REVIEWS ISSN- 2394-5125 VOL 7, ISSUE 8, 2020 INFORMATION RETRIEVAL APPLICATION OF TEXT MINING ALSO ON BIO-MEDICAL FIELDS Charan Singh Tejavath1, Dr. Tryambak Hirwarkar2 1Research Scholar, Dept. of Computer Science & Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India. 2Research Guide, Dept. of Computer Science & Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India. Received: 11.03.2020 Revised: 21.04.2020 Accepted: 27.05.2020 ABTRACT: Electronic clinical records contain data on all parts of health care. Healthcare data frameworks that gather a lot of textual and numeric data about patients, visits, medicines, doctor notes, and so forth. The electronic archives encapsulate data that could prompt an improvement in health care quality, advancement of clinical and exploration activities, decrease in clinical mistakes, and decrease in healthcare costs. In any case, the reports that contain the health record are wide-going in multifaceted nature, length, and utilization of specialized jargon, making information revelation complex. The ongoing accessibility of business text mining devices gives a one of a kind chance to remove basic data from textual information files. This paper portrays the biomedical text-mining technology. KEYWORDS: Text-mining technology, Bio-medical fields, Textual information files. © 2020 by Advance Scientific Research. This is an open-access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) DOI: http://dx.doi.org/10.31838/jcr.07.08.357 I. INTRODUCTION The corpus of biomedical data is becoming quickly. New and helpful outcomes show up each day in research distributions, from diary articles to book parts to workshop and gathering procedures.
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