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Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine Anastomosis in Psychiatric and Non-psychiatric Patient Collectives (P-Study)

Cancer Clinical Trial

Official title:
Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine Anastomosis in Psychiatric and Non-psychiatric Patient Collectives (P-Study)

Clinical Trial Summary

Our study aims to lay the basis for a predictive modeling service for postoperative complications and prolonged hospital stay in patients suffering from psychiatric diseases undergoing colorectal surgery. Furthermore, we aim to investigate the impact of preoperative Risk factors, psychiatric and psychosomatic diseases on the outcomes of colorectal surgery and the complications after colorectal surgeries like anastomosis insufficiency via predictive modeling techniques The service mentioned above will be publicly available as a web-based application

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05257863
Study type Observational
Source University of Basel
Contact Anas Taha, MD
Phone 0041612075402
Email anas.taha@unibas.ch
Status Recruiting
Phase
Start date May 1, 2022
Completion date December 31, 2023
View Details
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