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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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Detalhes bibliográficos
Publicado no:Diagnostics (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8145352/
https://ncbi.nlm.nih.gov/pubmed/33925256
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11050804
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