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...

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Detalles Bibliográficos
Autores principales: Lötsch, Jörn, Sipilä, Reetta, Tasmuth, Tiina, Kringel, Dario, Estlander, Ann-Mari, Meretoja, Tuomo, Kalso, Eija, Ultsch, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Clinical Trial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096884/
https://www.ncbi.nlm.nih.gov/pubmed/29876695
http://dx.doi.org/10.1007/s10549-018-4841-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096884/
https://www.ncbi.nlm.nih.gov/pubmed/29876695
http://dx.doi.org/10.1007/s10549-018-4841-8

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