Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional scales.

IF 3.8 3区医学 Q2 MEDICAL INFORMATICS

BMC Medical Informatics and Decision Making Pub Date : 2025-10-14 DOI:10.1186/s12911-025-03213-2

Huan Zhang, Yifei An, Min Song, Yingtao Meng

引用次数: 0

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住院癌症患者的动态跌倒风险预测：使用多维临床数据的机器学习模型的开发和验证，以克服传统量表的过度敏感性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Informatics and Decision Making 医学-医学：信息

CiteScore

7.20

自引率

5.70%

发文量

297

审稿时长

1 months

期刊介绍： BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.