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

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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Bibliographic Details
Main Authors: Hiroka Hosaka, Masashi Takeuchi, Tomohiro Imoto, Haruka Yagishita, Ayaka Yu, Yusuke Maeda, Yosuke Kobayashi, Yoshie Kadota, Masanori Odaira, Fumiki Toriumi, Takashi Endo, Hirohisa Harada
Format: Article
Language:English
Published: The Japan Society of Coloproctology 2021-07-01
Series:Journal of the Anus, Rectum and Colon
Subjects:
colonic perforation
postoperative complication
albumin
lactate
Online Access:https://www.jstage.jst.go.jp/article/jarc/5/3/5_2021-010/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jarc/5/3/5_2021-010/_pdf/-char/en

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