Robotics & Machine Learning Daily News2024,Issue(Nov.25) :47-48.

University Hospital Mater Domini Reports Findings in Eating Disorders [Physiological model-based machine learning for classifyingpatients with binge-e ating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve]

大学医院Mater Domini报告饮食失调的发现[基于生理模型的机器学习用于分类暴饮性障碍患者口服葡萄糖耐量试验(OGTT)曲线(BED)]

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :47-48.

University Hospital Mater Domini Reports Findings in Eating Disorders [Physiological model-based machine learning for classifyingpatients with binge-e ating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve]

大学医院Mater Domini报告饮食失调的发现[基于生理模型的机器学习用于分类暴饮性障碍患者口服葡萄糖耐量试验(OGTT)曲线(BED)]

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于饮食失调的新研究是一篇报道的主题。据新闻报道新的sRx记者从意大利卡坦扎罗报道,研究表明,"暴饮暴食障碍(BED)是最常见的饮食障碍,经常与肥胖混淆,它与肥胖有几个共同的特征。早期识别可以实现有针对性的治疗性干预离子。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Eating Disorders is th e subject of a report. According to newsreporting from Catanzaro, Italy, by New sRx journalists, research stated, “Binge eating disorder (BED) is the most frequ ent eating disorder, often confused with obesity, with which it shares several c haracteristics.Early identification could enable targeted therapeutic intervent ions.”

Key words

Catanzaro/Italy/Europe/Cyborgs/Drugs and Therapies/Eating Disorders/Emerging Technologies/Health and Medicine/Ma chine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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