Machine learning based efficient prediction of positive cases of waterborne diseases
Machine learning based efficient prediction of positive cases of waterborne diseases
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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 has become a hot topic for researchers and is very important f...
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Full title
Machine learning based efficient prediction of positive cases of waterborne diseases
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_de54f702c58d440283c56cad758f9f55
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de54f702c58d440283c56cad758f9f55
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-022-02092-1
