首页|University of Campania Luigi Vanvitelli Reports Findings in Crohn’s Disease (Mac hine learning as a tool predicting short-term postoperative complications in Cro hn’s disease patients undergoing intestinal resection: What frontiers?)
University of Campania Luigi Vanvitelli Reports Findings in Crohn’s Disease (Mac hine learning as a tool predicting short-term postoperative complications in Cro hn’s disease patients undergoing intestinal resection: What frontiers?)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws originating from Naples, Italy, by NewsRx correspondents, research stated, “T he recent study, ‘Predicting short-term major postoperative complications in int estinal resection for Crohn’s disease: A machine learning-based study’ investiga ted the predictive efficacy of a machine learning model for major postoperative complications within 30 days of surgery in Crohn’s disease (CD) patients. Employ ing a random forest analysis and Shapley Additive Explanations, the study priori tizes factors such as preoperative nutritional status, operative time, and CD ac tivity index.” Our news journalists obtained a quote from the research from the University of C ampania Luigi Vanvitelli, “Despite the retrospective design’s limitations, the m odel’s robustness, with area under the curve values surpassing 0.8, highlights i ts clinical potential. The findings align with literature supporting preoperativ e nutritional therapy in inflammatory bowel diseases, emphasizing the importance of comprehensive assessment and optimization.”
NaplesItalyEuropeCrohn’s DiseaseCyborgsDigestive System Diseases and ConditionsEmerging TechnologiesGastro enteritisGastroenterologyGastrointestinalGastrointestinal Diseases and Con ditionsHealth and MedicineMachine LearningSurgery
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