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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Authors
C.Kalaiarasi,Priya.B,S.R.Noble Lourdhu Raj,S.Duraimurugan,D.Vidhya
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Keywords
contact tracing, outbreaks, transmission chains, isolation, clustering and db scan algorithm
Abstract
Contact tracing is a critical tool in the fight against infectious diseases, including the ongoing COVID-19 pandemic. Traditional contact tracing methods involve manually identifying and notifying individuals who have come into contact with an infected person. However, with the increasing scale of outbreaks, manual contact tracing has become increasingly difficult and time-consuming.
Machine learning can help automate and enhance the contact tracing process. In this context, ML algorithms can analyze large volumes of data to identify potential transmission chains, predict the likelihood of an individual being infected, and prioritize high-risk individuals for testing and isolation. This paper presents an overview of recent research on contact tracing using machine learning. The paper covers ML techniques and their applications that involve Clustering and DBSCAN Algorithms and Proximity Graph. Additionally, the paper discusses the challenges and ethical considerations associated with using ML in contact tracing, such as data privacy and bias. Overall, this paper highlights the potential of ML to improve the effectiveness and efficiency of contact tracing, ultimately helping to curb the spread of infectious diseases.
IJCRT's Publication Details
Unique Identification Number - IJCRT2309356
Paper ID - 243184
Author type - Indian Author
Page Number(s) - d52-d62
Pubished in - Volume 11 | Issue 9 | September 2023
DOI (Digital Object Identifier) -
No Of Downloads - 143
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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C.Kalaiarasi,Priya.B,S.R.Noble Lourdhu Raj,S.Duraimurugan,D.Vidhya, "Contact Tracing using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.d52-d62, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309356.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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