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

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dc.contributor.authorPadwal, M. K.
dc.contributor.authorBasu, Sandip
dc.contributor.authorBasu, B.
dc.date.accessioned2024-02-09T06:52:40Z
dc.date.available2024-02-09T06:52:40Z
dc.date.issued2023
dc.description.divisionMBD;RMCen
dc.format.extent4798 bytes
dc.format.mimetypetext/html
dc.identifier.sourceCurrent Oncology, 2023. Vol. 30: pp. 9244-9261en
dc.identifier.urihttp://hdl.handle.net/123456789/26413
dc.language.isoenen
dc.subjectmachine learningen
dc.subjectgene featuresen
dc.subjectRNA-SEQen
dc.subjectneuroendocrine tumorsen
dc.subjecthepatic metastasisen
dc.subjectprimary siteen
dc.subjectrandom foresten
dc.titleApplication of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumorsen
dc.typeArticleen

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