Machine Learning-based Model for Predicting Postoperative Complications among Patients with Colonic Perforation: A Retrospective study

OBJECTIVES: Surgery for colonic perforation has high morbidity and mortality rates. Predicting complications preoperatively would help improve short-term outcomes; however, no predictive risk stratification model exists to date. Therefore, the current study aimed to determine risk factors for compli...

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Detalles Bibliográficos
Autores principales: Hosaka, Hiroka, Takeuchi, Masashi, Imoto, Tomohiro, Yagishita, Haruka, Yu, Ayaka, Maeda, Yusuke, Kobayashi, Yosuke, Kadota, Yoshie, Odaira, Masanori, Toriumi, Fumiki, Endo, Takashi, Harada, Hirohisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japan Society of Coloproctology 2021
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321583/
https://www.ncbi.nlm.nih.gov/pubmed/34395940
http://dx.doi.org/10.23922/jarc.2021-010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321583/
https://www.ncbi.nlm.nih.gov/pubmed/34395940
http://dx.doi.org/10.23922/jarc.2021-010

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