首页|University of Naples Federico II Reports Findings in Crohn’s Disease (Advancing perioperative optimization in Crohn’s disease surgery with machine learning pred ictions)
University of Naples Federico II Reports Findings in Crohn’s Disease (Advancing perioperative optimization in Crohn’s disease surgery with machine learning pred ictions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws reporting originating in Naples, Italy, by NewsRx journalists,research state d, “This editorial offers commentary on the article which aimed to forecast the likelihoodof short-term major postoperative complications (Clavien-Dindo grade III), including anastomotic fistula,intra-abdominal sepsis, bleeding, and intes tinal obstruction within 30 days, as well as prolonged hospitalstays following ileocecal resection in patients with Crohn’s disease (CD). This prediction relie d on amachine learning (ML) model trained on a cohort that integrated a nomogra m predictive model derivedfrom logistic regression analysis and a random forest (RF) model.”
NaplesItalyEuropeCrohn’s DiseaseCyborgsDigestive System Diseases and ConditionsEmerging TechnologiesGastro enteritisGastroenterologyGastrointestinalGastrointestinal Diseases and Con ditionsHealth and MedicineMachine LearningSurgery
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