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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Waterborne Disease Detection Using Machine Learning
Authors
Aryan Vinod pandey, Rahul Brijmohan Gupta, Amit Kumar Pandey, Omkar Singh
Keywords
Waterborne Diseases, Machine Learning, Water Quality Prediction, Environmental Health, Public Health Surveillance, Random Forest, SVM, Predictive Analytics, Real-time Monitoring, Disease Risk Assessment
Abstract
Waterborne diseases remain a significant global health concern, particularly in developing regions where access to clean drinking water is limited. This study explores machine learning techniques for predicting waterborne diseases using physicochemical water quality parameters. The research employs various models, including Decision Trees, Random Forest, and Neural Networks, to enhance prediction accuracy. Data pre-processing, feature engineering, and model evaluation are performed to ensure robust results. The findings suggest that machine learning can significantly improve early detection and prevention strategies for waterborne diseases.
IJCRT's Publication Details
Unique Identification Number - IJCRT2504384
Paper ID - 281888
Page Number(s) - d283-d289
Pubished in - Volume 13 | Issue 4 | April 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aryan Vinod pandey, Rahul Brijmohan Gupta, Amit Kumar Pandey, Omkar Singh, "Waterborne Disease Detection Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d283-d289, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504384.pdf
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Volume 13 | Issue 11
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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