Development of a Machine-Learning Model of Short-Term Prognostic Prediction for Spinal Stenosis Surgery in Korean Patients

Background: In this study, based on machine-learning technology, we aim to develop a predictive model of the short-term prognosis of Korean patients who received spinal stenosis surgery. Methods: Using the data obtained from 112 patients with spinal stenosis admitted at N hospital from February to N...

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Detalles Bibliográficos
Autores principales: Kim, Kyeong-Rae, Kim, Hyeun Sung, Park, Jae-Eun, Kang, Seung-Yeon, Lim, So-Young, Jang, Il-Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690438/
https://www.ncbi.nlm.nih.gov/pubmed/33105705
http://dx.doi.org/10.3390/brainsci10110764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690438/
https://www.ncbi.nlm.nih.gov/pubmed/33105705
http://dx.doi.org/10.3390/brainsci10110764

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