Risk of Mortality and Cardiopulmonary Arrest in Critical Patients Presenting to the Emergency Department Using Machine Learning and Natural Language Processing

AuthID
 P-00R-ZMJ
9
Author(s)
Fernandes, M
·
Mendes, R
·
Leite, F
·
Palos, C
·
Johnson, A
·
Finkelstein, S
·
Horng, S
·
Celi, LA
1
Editor(es)
Olier,I
Tipo de Documento
Article
Year published
2020
Publicado
in PLOS ONE, ISSN: 1932-6203
Volume: 15, Número: 4, Páginas: e0230876 (20)
Indexing
Wos®
Scopus®
Crossref®29
Pubmed®
Google Scholar®
Publication Identifiers
Pubmed: 32240233
SCOPUS: 2-s2.0-85082829842
Wos: WOS:000535945000053
Source Identifiers
ISSN: 1932-6203
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