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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/midm/ShiZMXXZWX23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chiye_Ma>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guangming_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jiading_Xu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jianren_Wu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kejia_Xu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Liling_Xu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wenyi_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ying_Shi>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1186%2Fs12911-023-02253-w>
foaf:homepage <https://doi.org/10.1186/s12911-023-02253-w>
dc:identifier DBLP journals/midm/ShiZMXXZWX23 (xsd:string)
dc:identifier DOI doi.org%2F10.1186%2Fs12911-023-02253-w (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/midm>
rdfs:label Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chiye_Ma>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guangming_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jiading_Xu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jianren_Wu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kejia_Xu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Liling_Xu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wenyi_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ying_Shi>
swrc:month December (xsd:string)
swrc:number 1 (xsd:string)
swrc:pages 156 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/midm/ShiZMXXZWX23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/midm/ShiZMXXZWX23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/midm/midm23.html#ShiZMXXZWX23>
rdfs:seeAlso <https://doi.org/10.1186/s12911-023-02253-w>
dc:title Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 23 (xsd:string)