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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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| Опубликовано в: : | Diagnostics (Basel) |
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| Главные авторы: | , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2021
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| Предметы: | |
| Online-ссылка: | 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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