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

SIMPLE SUMMARY: Structured survey on the predictive analysis of postoperative complications in oncology, bridging classic risk scores with machine learning advances, and further establishing principles to guide the design of cohort studies and the predictive modeling of postsurgical risks. ABSTRACT:...

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Detalles Bibliográficos
Autores principales: Gonçalves, Daniel M., Henriques, Rui, Costa, Rafael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269422/
https://www.ncbi.nlm.nih.gov/pubmed/34203189
http://dx.doi.org/10.3390/cancers13133217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269422/
https://www.ncbi.nlm.nih.gov/pubmed/34203189
http://dx.doi.org/10.3390/cancers13133217

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