IoT-based automated system for water-related disease prediction

IoT-based automated system for water-related disease prediction

Abstract Having access to potable water is a fundamental right to well-being. Despite this, 3.4 million people die from diseases caused by water each year, and 1.1 billion people lack access to potable drinking water. Although industrialization, durable infrastructure, and rapid development have inc...

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Main Authors: Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Water-borne diseases prediction
Water quality prediction
IoT-based diseases prediction
Time-series data
Forecasting diseases
TS-SMOTE
Online Access:https://doi.org/10.1038/s41598-024-79989-6
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https://doi.org/10.1038/s41598-024-79989-6

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