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Evaluating resampling methods and structured features to improve fall incident report identification by the severity level
Journal of the American Medical Informatics Association ( IF 4.7 ) Pub Date : 2021-05-19 , DOI: 10.1093/jamia/ocab048
Jiaxing Liu 1, 2 , Zoie S Y Wong 3 , H Y So 4 , Kwok Leung Tsui 2
Affiliation  

This study aims to improve the classification of the fall incident severity level by considering data imbalance issues and structured features through machine learning.

中文翻译:

评估重采样方法和结构化特征,以通过严重性级别改进跌倒事件报告识别

本研究旨在通过机器学习考虑数据不平衡问题和结构化特征来改进跌倒事件严重程度的分类。
更新日期:2021-05-19
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