Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) account for 80% of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). GEP-NETs are well-differentiated tumors, highly heterogeneous in biology and origin, and are often diagnosed at the metastatic stage. Diagnosis is commonly through c...

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Bibliographic Details

Published in:	Current Oncology
Main Authors:	Mahesh Kumar Padwal, Sandip Basu, Bhakti Basu
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Subjects:	machine learning gene features RNA-SEQ neuroendocrine tumors hepatic metastasis primary site
Online Access:	https://www.mdpi.com/1718-7729/30/10/668