首页|Shanghai Sixth People’s Hospital Reports Findings in Enterostomy (Comparative st udy of the risk prediction model of early postoperative frailty in elderly enter ostomy patients based on machine learning methods)
Shanghai Sixth People’s Hospital Reports Findings in Enterostomy (Comparative st udy of the risk prediction model of early postoperative frailty in elderly enter ostomy patients based on machine learning methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Enterostomy is the subject of a report. According to newsreporting originating from Shangha i, People’s Republic of China, by NewsRx correspondents, researchstated, “Based on machine learning method, four types of early postoperative frailty risk pred iction modelof enterostomy patients were constructed to compare the performance of each model and provide the basisfor preventing early postoperative frailty of elderly patients with enterostomy. The prospective conveniencesampling metho d was conducted and 362 early postoperative enterostomy patients were selected i n threehospitals from July 2020 to November 2023 in Shanghai, four different pr ediction models of Support VectorMachine (SVM), Bayes, XG Boost, and Logistic r egression were used and compared the test effects of thefour models (MCC, F1, A UC, and Brier index) to judge the classification performance of the four modelsin the data of this study.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesEnterostomyHealth and MedicineMachine Le arningRisk and PreventionSupport Vector MachinesSurgery
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