Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis

AuthID
 P-00V-51B
3
Author(s)
Gonçalves, DM
·
Henriques, R
·
Document Type
Article
Year published
2021
Published
in Cancers, ISSN: 2072-6694
Volume: 13, Issue: 13, Pages: 3217
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Scopus®
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Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85108725776
Source Identifiers
ISSN: 2072-6694
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