Application of Machine Learning in the Diagnosis of Early Gastric Cancer Using the Kyoto Classification Score and Clinical Features Collected from Medical Consultations

The early detection accuracy of early gastric cancer (EGC) determines the choice of the optimal treatment strategy and the related medical expenses. We aimed to develop a simple, affordable, and time-saving diagnostic model using six machine learning (ML) algorithms for the diagnosis of EGC. It is b...

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Autores principales:	Xue Sun, Liping Zhang, Qingfeng Luo, Yan Zhou, Jun Du, Dongmei Fu, Ziyu Wang, Yi Lei, Qing Wang, Li Zhao
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-09-01
Colección:	Bioengineering
Materias:	early gastric cancer Kyoto classification machine learning endoscopy KANs
Acceso en línea:	https://www.mdpi.com/2306-5354/11/10/973
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