Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：117-118.

Capital Medical University Reports Findings in Lung Cancer (Identification of ca chexia in lung cancer patients with an ensemble learning approach)

首都医科大学报告肺癌的发现(用集成学习方法识别肺癌患者的钙质)

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：117-118.
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Capital Medical University Reports Findings in Lung Cancer (Identification of ca chexia in lung cancer patients with an ensemble learning approach)

首都医科大学报告肺癌的发现(用集成学习方法识别肺癌患者的钙质)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-肺癌是一篇报道的主题。根据NewsRx记者源自中华人民共和国北京的新闻报道，研究称，“在肺癌恶病质发生前进行营养干预可显著提高肺癌患者的生存率，本研究旨在建立一个基于人体测量和血液指标的整体学习模型，以确定肺癌患者恶病质的危险因素，为肺癌患者早期给予营养支持和预防恶病质的发生提供依据。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Nutritiona l intervention prior to the occurrence of cachexia will significantly improve th e survival rate of lung cancer patients. This study aimed to establish an ensemb le learning model based on anthropometry and blood indicators without informatio n on body weight loss to identify the risk factors of cachexia for early adminis tration of nutritional support and for preventing the occurrence of cachexia in lung cancer patients.”

Key words

Beijing/People's Republic of China/Asi a/Cachexia/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Lung C ancer/Lung Diseases and Conditions/Lung Neoplasms/Machine Learning/Oncology/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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