Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.
Neurosurg Focus
; 46(5): E5, 2019 05 01.
Article
em En
| MEDLINE
| ID: mdl-31042660
Palavras-chave
ASA = American Society of Anesthesiologists; AUC = area under the receiver operating characteristic curve; GLM = generalized linear model; LSS = lumbar spinal stenosis; MCID = minimum clinically important difference; ML = machine learning; NPV = negative predictive value; NRS = numeric rating scale; NRS-BP = NRS for back pain; NRS-LP = NRS for leg pain; ODI = Oswestry Disability Index; PPV = positive predictive value; PROMs = patient-reported outcome measures; XGBoost = extreme gradient boosting; decompression; laminectomy; lumbar spinal stenosis; machine learning; outcome prediction; patient-reported outcome
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Estenose Espinal
/
Descompressão Cirúrgica
/
Aprendizado de Máquina
/
Vértebras Lombares
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Neurosurg Focus
Assunto da revista:
NEUROCIRURGIA
Ano de publicação:
2019
Tipo de documento:
Article