Machine learning based efficient prediction of positive cases of waterborne diseases

Machine learning based efficient prediction of positive cases of waterborne diseases

Abstract Background Water quality has been compromised and endangered by different contaminants due to Pakistan’s rapid population development, which has resulted in a dramatic rise in waterborne infections and afflicted many regions of Pakistan. Because of this, modeling and predicting waterborne d...

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Bibliographic Details
Main Authors: Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim, Fida Mohammad
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Patient information
Malaria
Typhoid
Waterborne disease
Online Access:https://doi.org/10.1186/s12911-022-02092-1

Internet

https://doi.org/10.1186/s12911-022-02092-1

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