Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery.
Saved in:
| Title: | Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery. |
|---|---|
| Authors: | Yossofzai O; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada.; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada., Fallah A; Department of Neurosurgery, University of California, Los Angeles Mattel Children's Hospital, Los Angeles, California, USA., Maniquis C; Department of Neurosurgery, University of California, Los Angeles Mattel Children's Hospital, Los Angeles, California, USA., Wang S; Division of Neurosurgery, Brain Institute, Nicklaus Children's Hospital, Miami, Florida, USA., Ragheb J; Division of Neurosurgery, Brain Institute, Nicklaus Children's Hospital, Miami, Florida, USA., Weil AG; Department of Neurosurgery, Sainte-Justine University Hospital Center, Montreal, Quebec, Canada., Brunette-Clement T; Department of Neurosurgery, Sainte-Justine University Hospital Center, Montreal, Quebec, Canada., Andrade A; Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada., Ibrahim GM; Department of Neurosurgery, Hospital for Sick Children, Toronto, Ontario, Canada., Mitsakakis N; Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada., Widjaja E; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada.; Division of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada. |
| Source: | Epilepsia [Epilepsia] 2022 Aug; Vol. 63 (8), pp. 1956-1969. Date of Electronic Publication: 2022 Jun 25. |
| Publication Type: | Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
