| https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/12/4049 +
, https://dblp.org/pid/253/0063 +
, https://dblp.org/pid/253/0185 +
, https://dblp.org/pid/253/0151 +
, https://dblp.org/pid/15/8092 +
, https://dblp.org/pid/203/9126 +
|
| https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Article +
|
| https://dblp.org/rdf/schema#createdBy
|
https://dblp.org/pid/12/4049 +
, https://dblp.org/pid/253/0063 +
, https://dblp.org/pid/253/0185 +
, https://dblp.org/pid/253/0151 +
, https://dblp.org/pid/15/8092 +
, https://dblp.org/pid/203/9126 +
|
| https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.1016/J.JBI.2019.103291 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1016/J.JBI.2019.103291 +
|
| https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/journals/jbi/jbi99 +
|
| https://dblp.org/rdf/schema#numberOfCreators
|
6
|
| https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.1016/J.JBI.2019.103291 +
|
| https://dblp.org/rdf/schema#publishedIn
|
J. Biomed. Informatics
|
| https://dblp.org/rdf/schema#publishedInJournal
|
J. Biomed. Informatics
|
| https://dblp.org/rdf/schema#publishedInJournalVolume
|
99
|
| https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/journals/jbi +
|
| https://dblp.org/rdf/schema#title
|
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.
|
| https://dblp.org/rdf/schema#wikidata
|
http://www.wikidata.org/entity/Q90331137 +
|
| https://dblp.org/rdf/schema#yearOfPublication
|
2019
|
| owl:sameAs |
https://doi.org/10.1016/J.JBI.2019.103291 +
, http://dx.doi.org/10.1016/J.JBI.2019.103291 +
, http://www.wikidata.org/entity/Q90331137 +
|
| rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Article +
|
| rdfs:label |
Li Huang et al.: Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. (2019)
|
