使用可解释机器学习对不同结肠密码分支模式的定量分析

Daniel Firmbach1,2, Corinna Lang-Schwarz2,3,4, Carlos A Rubio5

  • 1Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

PubMed
概括

机器学习模型现在可以在炎症性肠病 (IBD) 中区分对称和不对称的分支模式. 这种分类有助于更好地了解IBD亚型并提高诊断准确性.

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