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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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Autori principali: Mahesh Kumar Padwal, Sandip Basu, Bhakti Basu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2023-10-01
Serie:Current Oncology
Soggetti:
machine learning
gene features
RNA-SEQ
neuroendocrine tumors
hepatic metastasis
primary site
Accesso online:https://www.mdpi.com/1718-7729/30/10/668
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