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Liangyu Yin

nephrology
H指数:23
被引数:1,513

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Explainable deep learning model WAL-net for individualised assessment of potentially reversible malnutrition in patients with cancer: a multicentre cohort study

用于癌症患者潜在可逆性营养不良个体化评估的可解释深度学习模型WAL-net:一项多中心队列研究

2025-07-011
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Corrigendum to “Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge” Am J Clin Nutr 116 (2022) 1229–1239

勘误:“Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge” Am J Clin Nutr 116 (2022) 1229–1239

2025-04-190
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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 study
2023-06-019
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Triceps skinfold-albumin index significantly predicts the prognosis of cancer cachexia: A multicentre cohort study
2022-12-253
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Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge
2022-11-0114
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