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Machine learning-based prediction models for falls in hospitalized patients: A systematic review and meta-analysis

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成果类型:
期刊论文
作者:
Xie, Ronggui;Shao, Le;Pei, Jingru;Shi, Yuyan;Tang, Mingming;...
通讯作者:
Zhao, H
作者机构:
[Shi, Yuyan; Xie, Ronggui; Pei, Jingru] Hunan Univ Tradit Chinese Med, Sch Nursing, Changsha, Peoples R China.
[Shao, Le; Zhao, Hong; Tang, Mingming; Sun, Xueqin; Deng, Guiyu] Hunan Univ Tradit Chinese Med, Hosp 1, Changsha, Peoples R China.
通讯机构:
[Zhao, H ] H
Hunan Univ Tradit Chinese Med, Hosp 1, Changsha, Peoples R China.
语种:
英文
关键词:
Falls;Machine learning algorithms;Meta-analysis;Predictive models;System evaluation
期刊:
Geriatric Nursing
ISSN:
0197-4572
年:
2025
卷:
63
页码:
487-498
基金类别:
Statement This article is sponsored by the Hunan Provincial Administration of Traditional Chinese Medicine (grant number: B2024041).
机构署名:
本校为第一且通讯机构
院系归属:
第一中医临床学院
护理学院
摘要:
Objective To systematically review published machine learning models aimed at predicting the risk of falls among hospitalized patients. To systematically review published machine learning models aimed at predicting the risk of falls among hospitalized patients. Design A systematic review and meta-analysis. A systematic review and meta-analysis. Methods According to the inclusion and exclusion criteria, we comprehensively searched the database PubMed, EMBASE, Web of Science and The Cochrane library from inception through November 14, 2023. Data extraction followed the CHARMS checklist, and bias...

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