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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)

ABSTRACT: 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

DISEASE(S): Psychiatric Disorder,Morbus Crohn,Anastomotic Leak,Psychosomatic Disorder,Small Intestine Anastomotic Leak,Psychophysiologic Disorders,Diverticulitis,Problem Behavior,Mental Disorders,Anastomotic Complication,Somatoform Disorders,Postoperative Complications,Cancer,Colitis Ulcerosa

PROVIDER: 2406067 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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