IJMTES – HEALTHCARE ANALYSIS SYSTEM USING NLP APPROACH

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Meera Ashok Lad | Nita Vijaysing Pardeshi | Shailesh Bandu Wankhade | Rupesh Kishor Baviskar

Volume 02 Issue 07  Year 2015

ISSN no: 2348-3121

Page no: 1-3

Abstract The Natural Learning Processing and Machine Learning field has gain its momentum in almost all domain of research. Nowadays reliable tools are also available in medical field. In recent days, most of the Doctors provide medicine on the basis of their knowledge and experience. Medical Expertise treats the patients by analyzing the symptoms of diseases on the basis of years of the practice and discoveries in Medical research, but Medical Expertise are unaware about day by day new discoveries and innovations in Medical research due to busy schedule. There should be feasible solution to overcome this problem. So, proposed system introduce new discoveries and innovations by extracting sentences from latest published medical papers that mention disease and treatments, and suggest newly arrived medicines as per the research in Medline. Also, proposed systems uses NLP and ML approach for identifying disease and provide required medicine. The system describes ML based methodology for building an application that is capable of identifying and disseminating health care information. System make health-care field more efficient and reliable. Identifying and classifying medical related information on the web is a challenge that can bring valuable information to research community and also to the end user.

Keywords— Natural Learning Processing; Healthcare Analysis; NLP Approach

Reference

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[4] Pravin Shinde, Prof Sanjay Jadhav, “Health Analysis System Using Machine Learning,”RVIOT kharghar Navi Mumbai on (2014).

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