- Title
- Characteristics of Postoperative Outcome Clusters in Brainstem Cavernous Malformation Patients: An Unsupervised and Supervised Machine Learning Analysis
- Creators
- Joshua S. Catapano - Barrow Neurological InstituteAnant Naik - St. Joseph's Hospital and Medical CenterOlga Ciobanu-Caraus - Barrow Neurological InstituteLaura B. Lopez Lopez - St. Joseph's Hospital and Medical CenterAshia Hackett - Barrow Neurological InstituteE. Nico - St. Joseph's Hospital and Medical CenterStefan W. Koester - Barrow Neurological InstituteLea Scherschinski - Barrow Neurological InstituteJoelle N. Hartke - St. Joseph's Hospital and Medical CenterBrandon Fox - St. Joseph's Hospital and Medical CenterEthan A. Winkler - Barrow Neurological InstituteRobert F. Spetzler - St. Joseph's Hospital and Medical CenterMichael T. Lawton - Barrow Neurological Institute
- Publication Details
- Brain & spine, Vol.3, pp.101979-101979
- Publisher
- Elsevier B.V
- Identifiers
- 991006262125702656
- Academic Unit
- Neurological Surgery
- Language
- English
- Resource Type
- Journal article
Journal article
Characteristics of Postoperative Outcome Clusters in Brainstem Cavernous Malformation Patients: An Unsupervised and Supervised Machine Learning Analysis
Brain & spine, Vol.3, pp.101979-101979
2023
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