Southwest Medical University Reports Findings in Type 2 Diabetes (Identifying di agnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach)

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外文摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Nutritional and Metabolic Disease s and Conditions - Type 2 Diabetes is thesubject of a report. According to news reporting originating in Luzhou, People’s Republic of China, byNewsRx journali sts, research stated, “Identification of patients at risk for type 2 diabetes me llitus (T2DM)can not only prevent complications and reduce suffering but also e ase the health care burden. While routinephysical examination can provide usefu l information for diagnosis, manual exploration of routine physicalexamination records is not feasible due to the high prevalence of T2DM.”

外文关键词：

LuzhouPeople’s Republic of ChinaAsiaAlgorithmsCyborgsDiabetes MellitusDiagnostics and ScreeningEmerging Te chnologiesEndocrine System Diseases and ConditionsEndocrinologyGlucose Met abolism DisordersHealth and MedicineMachine LearningMetabolic Diseases and ConditionsNon-Insulin Dependent Diabetes MellitusNutritional and Metabolic Diseases and ConditionsRisk and PreventionType 2 Diabetes

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Apr.16)