Comment on “Differential Diagnosis of Urinary Cancers by Surface-Enhanced Raman Spectroscopy and Machine Learning”

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Ivan A. Bratchenko, Lyudmila A. Bratchenko
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引用次数: 0

Abstract

This article discusses current research on the detection of urinary cancers using surface-enhanced Raman spectral analysis of human serum by Song et al., which was published in the Analytical Chemistry journal. Despite the high performance of the suggested approach (ROC AUC of 0.94), the demonstrated performance could be treated as overoptimistic because of an overestimation of classification models.
《表面增强拉曼光谱与机器学习鉴别诊断泌尿系肿瘤》评论
本文讨论了Song等人利用人血清表面增强拉曼光谱分析检测泌尿系癌症的最新研究,该研究发表在《分析化学》杂志上。尽管建议的方法具有很高的性能(ROC AUC为0.94),但由于对分类模型的高估,证明的性能可能被视为过于乐观。
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
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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