Investigation of Effective Classification Method for Online Health Service Recommendation System

Saravanan, Palani, Sahithya, Nalla and Secherla, Supriya Investigation of Effective Classification Method for Online Health Service Recommendation System. International Journal of Pure and Applied Mathematics, 2018, vol. 119, n. 12, pp. 13273-13286. [Journal article (Paginated)]

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English abstract

Hospital Recommendation Services have been gaining popularity these days. There are many applications and systems that are recommending hospitals based on the user’s requirements and to meet the patient satisfaction. These applications take the reviews of the patients and the users and based on these reviews, they recommend the hospitals. Also if a person is new to the location that he is currently residing, when the speciality is given as input by him, then these applications recommend the hospitals. But the problem is that everyone is not aware of the medical terms like specialities. For those people, “Health Service Recommendation System” comes handy. “Health Service Recommendation System” is an Android Application for finding hospitals within a specified range of distance and requirements provided by the client using the Naïve Bayes classification algorithm. Naïve Bayes algorithm classifies the speciality and thus helps in achieving the maximum accuracy compared to the other algorithms used. This application is helpful even for the people who are not aware of the specialities of the hospitals.

Item type: Journal article (Paginated)
Keywords: Android, Classification, Decision Tree algorithm, Support Vector Machine Algorithm, Naïve Bayes Algorithm, DBbrowser, SQLite, Specialties, Symptoms.
Subjects: B. Information use and sociology of information
B. Information use and sociology of information > BC. Information in society.
Depositing user: Raster Daster
Date deposited: 02 Aug 2018 07:29
Last modified: 02 Aug 2018 07:29
URI: http://hdl.handle.net/10760/33258

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