Status and challenges on adaptation for Indian healthcare services with data mining technique

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Abstract

Healthcare providers need to be up-to-date using new inventions and methods of treatment, and for this the health-related institutions have to consistently accumulate the healthcare data. Extracting medical knowledge by structured data mining of many medical records is important for clinical diagnosis support. In the proposed technique, the primary source of data mining is used. In the present study, the best hospital is determined through the mining of data from the questionnaire survey made in the Odisha region. Initially, each data is assigned with the score value based on the required preferences. Moreover, prefix spanning is used for rule generation and the score values were added, and, finally, the best hospital is found with the hospital having highest scores. The proposed technique is implemented in the working platform of JAVA and the results were analyzed.

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APA

Pradhan, M. (2017). Status and challenges on adaptation for Indian healthcare services with data mining technique. In Understanding Complex Systems (pp. 285–298). Springer Verlag. https://doi.org/10.1007/978-3-319-55774-8_11

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