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  Published Paper Details:

  Paper Title

WEBMD DISEASE PREDICTION SYSTEM

  Authors

  Anshita Chugh,  Priyasha Gupta,  Sonal,  Ritvik Agarwal,  Ankita

  Keywords

Disease prediction, Healthcare, Web

  Abstract


Globally, several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for efficacious monitoring and analysis of the medical records. A web-predicated patient diagnostic system is a central platform to store the medical history and soothsay the possible disease predicated on the current symptoms experienced by a patient to ascertain more expeditious and precise diagnosis. The proposed WebMD Disease prediction system is equipped with a recommendation scheme to recommend the type of tests predicated on the subsisting symptoms of the patient, so that compulsory precautions can be taken. A centralized database ascertains that the medical data is preserved and there is transparency in the system.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2107094

  Paper ID - 209651

  Page Number(s) - a714-a716

  Pubished in - Volume 9 | Issue 7 | July 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Anshita Chugh,  Priyasha Gupta,  Sonal,  Ritvik Agarwal,  Ankita,   "WEBMD DISEASE PREDICTION SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.a714-a716, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107094.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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