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Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy
BACKGROUND: Prevention of persistent pain following breast cancer surgery, via early identification of patients at high risk, is a clinical need. Supervised machine-learning was used to identify parameters that predict persistence of significant pain. METHODS: Over 500 demographic, clinical and psyc...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Breast Cancer Res Treat |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Springer US
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6096884/ https://ncbi.nlm.nih.gov/pubmed/29876695 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10549-018-4841-8 |
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