评估基于SMOTE的不同机器学习算法在预测小学生肌肉骨骼疾病中的性能。

IF 3.4 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

BMC Medical Research Methodology Pub Date : 2025-10-02 DOI:10.1186/s12874-025-02654-7

Sara Manoochehri, Maryam Zamani, Maryam Afshari, Ali Reza Soltanian, Zohreh Manoochehri

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Evaluating the performance of different machine learning algorithms based on SMOTE in predicting musculoskeletal disorders in elementary school students.

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Evaluating the performance of different machine learning algorithms based on SMOTE in predicting musculoskeletal disorders in elementary school students.

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来源期刊

BMC Medical Research Methodology 医学-卫生保健

CiteScore

6.50

自引率

2.50%

发文量

298

审稿时长

3-8 weeks

期刊介绍： BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.