Machine Learning-based Model for Predicting Postoperative Complications among Patients with Colonic Perforation: A Retrospective study
Author:
Affiliation:
1. Department of Surgery, Tokyo Saiseikai Central Hospital
Publisher
The Japan Society of Coloproctology
Link
https://www.jstage.jst.go.jp/article/jarc/5/3/5_2021-010/_pdf
Reference24 articles.
1. 1. Bielecki K, Kamiński P, Klukowski M. Large bowel perforation: morbidity and mortality. Tech Coloproctol. 2002 Dec; 6 (3): 177-82.
2. 2. Mäkelä J, Kiviniemi H, Laitinen S. Prevalence of perforated sigmoid diverticulitis is increasing. Dis Colon Rectum. 2002 Jul; 45 (7): 955-61.
3. 3. Hart A, Kennedy J, Stebbings W, et al. How frequently do large bowel diverticular perforate? An incidence and cross-sectional study. Eur J Gastroenterol Hepatol. 2000 Jun; 12 (6): 661-5.
4. 4. Singh R, Kumar N, Bhattacharya A, et al. Preoperative predictors of mortality in adult patients with perforation peritonitis. Indian J Crit Care Med. 2011 Jul; 15 (3): 157-63.
5. 5. Kubo N, Kawanaka H, Hiroshige S, et al. Sarcopenia discriminates poor prognosis in elderly patients following emergency surgery for perforation panperitonitis. Ann Gastroenterol Surg. 2019 Nov; 3 (6): 630-7.
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