UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106620


Registration ID:
311301

Page Number

e461-e465

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Title

Electronic Health-Card System for Identification of Communicable Disease Location Using Machine Learning

Abstract

Health is one of the most significant factors that need to be scrutinized. In the present scenario, it is very essential to know the health details of the people around us. Besides, identifying the origin of communicable diseases plays a key role in preventing the spread of diseases. In this paper, we are discussing the issues that are being faced and implementing a model to address those problems. It is high time to deploy a certain system where a person can know the health status of people around him/her using a simple authentication system. This can be achieved through our model where people are provided with a card that is equipped with a QR code. This authentication system is used to get access to the health status of a person. In addition to this, it can identify the place where the disease or virus effect is more using machine learning algorithms. It is not compulsory that the person belonging to the same locality has to visit the same hospital or any hospital in the same locality. So wherever the person may visit the hospital, his/her data needs to be updated. Here, we propose a web application to update data. This data is used to analyze and identify the hotspots. Analyzing and Identifying similar symptoms among people of the same locality, we can predict the spread of disease. An alarming system is required for the officials to know the hotspot regions and also the disease that is spreading. The prediction analysis made through this model helps the authorities to take necessary actions at that particular location. In the future, many companies, shopping malls, and public places where many people gather require this system to check the people’s health status instantly.

Key Words

Communicable diseases, unique authentication system, E-health card, Machine learning algorithms

Cite This Article

"Electronic Health-Card System for Identification of Communicable Disease Location Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.e461-e465, June-2021, Available :http://www.jetir.org/papers/JETIR2106620.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

"Electronic Health-Card System for Identification of Communicable Disease Location Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppe461-e465, June-2021, Available at : http://www.jetir.org/papers/JETIR2106620.pdf

Publication Details

Published Paper ID: JETIR2106620
Registration ID: 311301
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27425
Page No: e461-e465
Country: Nizamabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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