Trials / Unknown
UnknownNCT05257863
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)
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 10,000 (estimated)
- Sponsor
- Dr. Med Anas Taha · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
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
Conditions
- Postoperative Complications
- Psychosomatic Disorder
- Psychiatric Disorder
- Cancer
- Diverticulitis
- Morbus Crohn
- Colitis Ulcerosa
- Anastomotic Leak
- Anastomotic Complication
- Small Intestine Anastomotic Leak
Timeline
- Start date
- 2022-05-01
- Primary completion
- 2023-12-31
- Completion
- 2023-12-31
- First posted
- 2022-02-25
- Last updated
- 2023-05-09
Locations
1 site across 1 country: Switzerland
Source: ClinicalTrials.gov record NCT05257863. Inclusion in this directory is not an endorsement.