Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water

dc.contributor.author	Han, Min
dc.contributor.author	Liang, Jun
dc.contributor.author	Jin, Biao
dc.contributor.author	Wang, Ziwei
dc.contributor.author	Wu, Wanlu
dc.contributor.author	Arp, Hans Peter Heinrich
dc.date.accessioned	2024-07-12T08:44:47Z
dc.date.available	2024-07-12T08:44:47Z
dc.date.created	2024-02-26T09:45:00Z
dc.date.issued	2024
dc.identifier.citation	iScience. 2024, 27 (2), .
dc.identifier.issn	2589-0042
dc.identifier.uri	https://hdl.handle.net/11250/3140528
dc.language.iso	eng
dc.title	Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water
dc.title.alternative	Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.pagenumber	0
dc.source.volume	27
dc.source.journal	iScience
dc.source.issue	2
dc.identifier.doi	10.1016/j.isci.2024.109012
dc.identifier.cristin	2249635
dc.relation.project	EC/H2020/101036756
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1