A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy

The application of machine learning (ML) techniques could facilitate the identification of predictive biomarkers of somatostatin analog (SSA) efficacy in patients with neuroendocrine tumors (NETs). We collected data from 74 patients with a pancreatic or gastrointestinal NET who received SSA as first...

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Detalles Bibliográficos
Autores principales: Hasic Telalovic, Jasminka, Pillozzi, Serena, Fabbri, Rachele, Laffi, Alice, Lavacchi, Daniele, Rossi, Virginia, Dreoni, Lorenzo, Spada, Francesca, Fazio, Nicola, Amedei, Amedeo, Iadanza, Ernesto, Antonuzzo, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145352/
https://www.ncbi.nlm.nih.gov/pubmed/33925256
http://dx.doi.org/10.3390/diagnostics11050804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145352/
https://www.ncbi.nlm.nih.gov/pubmed/33925256
http://dx.doi.org/10.3390/diagnostics11050804

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