IoT-based automated system for water-related disease prediction
Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene · 2024
Read IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11603214.txt.
Description
Bhushankumar Nemade and co-authors build an Internet of Things system that predicts water-related disease risk, in a 2024 paper. Unsafe water kills millions each year and sickens far more. Billions lack reliable clean drinking water. Sensors can now watch water quality around the clock. Prediction turns those readings into early warnings.
A real-world water quality data set with many features grounded the work. The proposed system collects fresh data through connected devices. Models then forecast which conditions signal disease danger. The aim is action before outbreaks, not after. Public health teams in low-resource areas are the target users. The paper joins a push for smart, cheap water safety nets.
Catalog record
| CREATOR | Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 86 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |