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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Abstract

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.”

Key words

Luzhou/People’s Republic of China/Asia/Algorithms/Cyborgs/Diabetes Mellitus/Diagnostics and Screening/Emerging Te chnologies/Endocrine System Diseases and Conditions/Endocrinology/Glucose Met abolism Disorders/Health and Medicine/Machine Learning/Metabolic Diseases and Conditions/Non-Insulin Dependent Diabetes Mellitus/Nutritional and Metabolic Diseases and Conditions/Risk and Prevention/Type 2 Diabetes

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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