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)
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- STATUS
- Recruiting
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- End date
- Dec 31, 2023
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- participants needed
- 10000
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- sponsor
- Dr. Med Anas Taha
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
Details
| Condition | Postoperative Complications, Psychosomatic Disorder, Psychiatric Disorder, Cancer, Diverticulitis, Morbus Crohn, Colitis Ulcerosa, Anastomotic Leak, Anastomotic Complication, Small Intestine Anastomotic Leak |
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| Clinical Study Identifier | NCT05257863 |
| Sponsor | Dr. Med Anas Taha |
| Last Modified on | 7 October 2022 |
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