Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Jean-Fran%E2%88%9A%C3%9Fois_Ethier>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ryeyan_Taseen>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1093%2Fjamia%2Focab140>
foaf:homepage	<https://doi.org/10.1093/jamia/ocab140>
dc:identifier	DBLP journals/jamia/TaseenE21 (xsd:string)
dc:identifier	DOI doi.org%2F10.1093%2Fjamia%2Focab140 (xsd:string)
dcterms:issued	2021 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/jamia>
rdfs:label	Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation. (xsd:string)
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swrc:number	11 (xsd:string)
swrc:pages	2366-2378 (xsd:string)
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dc:title	Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation. (xsd:string)
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