Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion.
Eur Spine J
; 31(8): 1952-1959, 2022 08.
Article
in En
| MEDLINE
| ID: mdl-34392418
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Spinal Diseases
/
Spinal Fusion
Type of study:
Diagnostic_studies
/
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Humans
Language:
En
Journal:
Eur Spine J
Journal subject:
ORTOPEDIA
Year:
2022
Document type:
Article
Affiliation country: