Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy.

Abstract

Authors

• Danilo Bernardo
  Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.
• Jonathan Kim
  Department of Ophthalmology, University of Southern California, Los Angeles, CA, USA.
• Marie-Coralie Cornet
  Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA.
• Adam L Numis
  Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.
• Aaron Scheffler
  Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
• Vikram R Rao
  Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
• Edilberto Amorim
  Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: edilbertoamorim@gmail.com.
• Hannah C Glass
  Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA.

Keywords

External Resources