基于机器学习算法构建中老年腹膜透析患者肌少症发生的预测模型OA北大核心CSTPCD
A predictive model of sarcopenia occurrence in middle-aged and elderly peritoneal dialysis patients based on machine learning algorithm
目的 基于机器学习算法构建中老年腹膜透析(peritoneal dialysis,PD)患者肌少症发生的预测模型,为肌少症的诊治测量提供参考依据.方法 选取 2020 年 5 月至 2023 年 10 月期间于海军军医大学第一附属医院(上海长海医院)住院治疗的 648 例中老年PD患者作为研究对象,收集患者临床资料,根据是否发生肌少症分为肌少症组 169 例和无肌少症组 479 例.基于机器学习算法,分别采用极限梯度提升树(extreme gra…查看全部>>
Objective To construct a prediction model of sarcopenia in middle-aged and elderly peritoneal dialysis(PD)patients based on machine learning algorithm,and to provide a reference for the diagnosis and treatment of sarcopenia.Methods A total of 648 middle-aged and elderly PD patients who were hospitalized between May 2020 and October 2023 were selected as the study subjects.Clinical data of the patients were collected,and they were divided into a sarcopenia gr…查看全部>>
季亚平;王璇;沈玢;王登台
海军军医大学第一附属医院 (上海长海医院) 肾病内科,上海 200433海军军医大学第一附属医院 (上海长海医院) 肾病内科,上海 200433海军军医大学第一附属医院 (上海长海医院) 肾病内科,上海 200433海军军医大学第一附属医院 (上海长海医院) 急诊科,上海 200433
腹膜透析肌少症预测模型机器学习算法
Peritoneal dialysisSarcopeniaPrediction modelMachine learning algorithm
《中国医学前沿杂志（电子版）》 2024 (6)
31-37,7
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