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Zhikang Chen

Showing results (81-90 of 84) with videos related to

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The American Journal of Clinical Nutrition|January 9, 2025
Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort studyLiangyu Yin, Na Li, Xin Lin, et al.
Journal of Cachexia, Sarcopenia and Muscle|April 22, 2024
Exploring the optimal indicator of short-term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort studyLiangyu Yin, Ling Zhang, Long Li, et al.
Journal of Cachexia, Sarcopenia and Muscle|February 14, 2025
Diagnostic Criteria for Cancer-Associated Cachexia: Insights from a Multicentre Cohort StudyZhenyu Huo, Feifei Chong, Na Li, et al.
Clinical Nutrition (Edinburgh, Scotland)|May 13, 2023
Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter studyZhenyu Huo, Feifei Chong, Liangyu Yin, et al.
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Showing results (81-90 of 84) with videos related to

Sort By:
Pageof 9
You have reached the last page of results.This site can display upto 84 results.
The American Journal of Clinical Nutrition|January 9, 2025
Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort studyLiangyu Yin, Na Li, Xin Lin, et al.
Journal of Cachexia, Sarcopenia and Muscle|April 22, 2024
Exploring the optimal indicator of short-term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort studyLiangyu Yin, Ling Zhang, Long Li, et al.
Journal of Cachexia, Sarcopenia and Muscle|February 14, 2025
Diagnostic Criteria for Cancer-Associated Cachexia: Insights from a Multicentre Cohort StudyZhenyu Huo, Feifei Chong, Na Li, et al.
Clinical Nutrition (Edinburgh, Scotland)|May 13, 2023
Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter studyZhenyu Huo, Feifei Chong, Liangyu Yin, et al.
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