UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204608


Registration ID:
401035

Page Number

g49-g55

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Title

ONLINE HEALTH WEB APPLICATION FOR DISEASE DETECTION

Abstract

In the present time we see a ton of lack of specialists on the planet particularly in India. Individuals are enduring a ton without the assistance of legitimate clinical examination. On occasion it is additionally prompting passing. To defeat this large number of issues, we executed this Application. Online Health Web Application for Disease Detection incorporates different Machine Learning Algorithms which takes datasets of different infections like heart malignant growth, intestinal sickness, and diabetic retinopathy and so on, for preparing the model. Client can pick his/her infection type in view of the side effects he/she is having. It will take the boundaries required, for example, blood classification, pee test, blood test, circulatory strain, pulse for heart disease, retina pictures for diabetic retinopathy and platelet pictures for intestinal sickness recognition and go through the model and anticipate the outcome. It isn't just needed with the illness forecast yet additionally relieving the illness on time is significant. This Application additionally proposes the best specialists who are expert to that illness and anticipate the period to spread of that illness so the patient can visit the specialist inside time. This venture is a start to finish AI project that can anticipate the possibilities getting an illness in organs like heart, retina, liver and so forth. Moreover, GUI makes the framework more intelligent and facilitates its utilization to foresee the aftereffects of illnesses.

Key Words

Machine learning, disease detection, Random forest classification, Data analysis

Cite This Article

"ONLINE HEALTH WEB APPLICATION FOR DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g49-g55, April-2022, Available :http://www.jetir.org/papers/JETIR2204608.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ONLINE HEALTH WEB APPLICATION FOR DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg49-g55, April-2022, Available at : http://www.jetir.org/papers/JETIR2204608.pdf

Publication Details

Published Paper ID: JETIR2204608
Registration ID: 401035
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: g49-g55
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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