Identification of a Novel Lipidomic Biomarker for Hepatocyte Carcinoma Diagnosis: Advanced Boosting Machine Learning Techniques Integrated with Explainable Artificial Intelligence

<b>Background:</b> Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, often diagnosed at late stages due to the limited sensitivity of current screening tools. This study explores whether blood-based lipidomic profiling, combined with explainable artificial inte...

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主要な著者:	Fatma Hilal Yagin, Cemil Colak, Fahaid Al-Hashem, Sarah A. Alzakari, Amel Ali Alhussan, Mohammadreza Aghaei
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-11-01
シリーズ:	Metabolites
主題:	hepatocellular carcinoma lipidomics biomarkers machine learning explainable boosting machine
オンライン･アクセス:	https://www.mdpi.com/2218-1989/15/11/716
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