Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after posterior decompression in patients with degenerative cervical myelopathy

BACKGROUND: Probabilistic graphical modelling (PGM) can be used to predict risk at the individual patient level and show multiple outcomes and exposures in a single model. OBJECTIVE: To develop PGM for the prediction of clinical outcome in patients with degenerative cervical myelopathy (DCM) after p...

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Detalles Bibliográficos
Autores principales: Shin, Dong Ah, Lee, Sun-Ho, Oh, Sohee, Yoo, Changwon, Yang, Hee-Jin, Jeon, Ikchan, Park, Sung Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339766/
https://www.ncbi.nlm.nih.gov/pubmed/37435966
http://dx.doi.org/10.1080/07853890.2023.2232999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339766/
https://www.ncbi.nlm.nih.gov/pubmed/37435966
http://dx.doi.org/10.1080/07853890.2023.2232999

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