Machine learning based efficient prediction of positive cases of waterborne diseases

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 diseases...

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Detalles Bibliográficos
Autores principales: Hussain, Mushtaq, Cifci, Mehmet Akif, Sehar, Tayyaba, Nabi, Said, Cheikhrouhou, Omar, Maqsood, Hasaan, Ibrahim, Muhammad, Mohammad, Fida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848024/
https://www.ncbi.nlm.nih.gov/pubmed/36653779
http://dx.doi.org/10.1186/s12911-022-02092-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848024/
https://www.ncbi.nlm.nih.gov/pubmed/36653779
http://dx.doi.org/10.1186/s12911-022-02092-1

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