Litcius/Paper detail

Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion

Akash Shah, Sai K. Devana, Changhee Lee, Amador Bugarin, Elizabeth L. Lord, Arya Nick Shamie, Don Y. Park, Mihaela van der Schaar, Nelson F. SooHoo

2021European Spine Journal23 citationsDOIOpen Access PDF

Topics & Concepts

MedicineLogistic regressionRetrospective cohort studyPerioperativePosterior probabilityEnsemble learningNeurosurgeryComplicationSurgeryMachine learningInternal medicineArtificial intelligenceBayesian probabilityComputer scienceCervical and Thoracic MyelopathyMachine Learning in HealthcareMedical Imaging and Analysis
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion | Litcius