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Implementation of Medical Knowledge Extraction from Truth Discovery and Supervised Methods

Publication Type : Journal Article

Source : Journal of Emerging Technologies and Innovative Research, Volume 5, Issue 6, pp. 774-777, ISSN: 2349-5162, June 2018.

Url : https://www.jetir.org/papers/JETIRC006137.pdf

Campus : Chennai

School : School of Computing

Year : 2018

Abstract : The medical question and answer website plays a vital role in today's fast world because everything is becoming digital. When the world is stepping forward to become digital, then storage of data becomes a complex task. If a Question and Answer website is considered for extracting medical data, it is observed that each and every data that is generated becomes valuable. Thus, storing all these data by filtering out the unwanted data is a challenge. This is not possible when gathered information from the patients in a detailed manner and then separating it into useful information. When proposed a system to avoid the time taken, cost of extraction of the useful information from unwanted sentences. Moreover ,our main aim is to reduce the volume of the data that is stored in the back end for faster retrieval of data. Here proposing an additional feature of leaving a message in chat to the doctors and whenever the registered users login to the account they can see details about any camp. This project has another advantage to give the patients some first aid related videos according to their wish. The implement this project in the name of, Easy Med which can automatically give you suggestions.

Cite this Research Publication : S. Neelakandan, Annamalai R., S. Velmurugan, "Implementation of Medical Knowledge Extraction from Truth Discovery and Supervised Methods," Journal of Emerging Technologies and Innovative Research, Volume 5, Issue 6, pp. 774-777, ISSN: 2349-5162, June 2018.

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