New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

Journal: European review for medical and pharmacological sciences

Published Date: Dec 1, 2020

Abstract

OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and predict short-term outcomes.

Authors

L Sofo

Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Rome, Italy. francosac@gmail.com.
P Caprino
C A Schena
F Sacchetti
A E Potenza
A Ciociola

Keywords

Colectomy Colitis, Ulcerative Female Humans Machine Learning Male Middle Aged Postoperative Complications Prospective Studies Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (33378027)

New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

Abstract

Authors

Keywords

External Resources

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