Reassessing Feature Importance Biases in Machine Learning Models for Infection Analysis.

IF 14.3 1区医学 Q1 INFECTIOUS DISEASES

Journal of Infection Pub Date : 2024-11-16 DOI:10.1016/j.jinf.2024.106357

Yoshiyasu Takefuji

引用次数: 0

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重新评估用于感染分析的机器学习模型中的特征重要性偏差。

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

Journal of Infection 医学-传染病学

CiteScore

45.90

自引率

3.20%

发文量

475

审稿时长

16 days

期刊介绍： The Journal of Infection publishes original papers on all aspects of infection - clinical, microbiological and epidemiological. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in the ever-changing field of infection. Each issue brings you Editorials that describe current or controversial topics of interest, high quality Reviews to keep you in touch with the latest developments in specific fields of interest, an Epidemiology section reporting studies in the hospital and the general community, and a lively correspondence section.