Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model

@article{PinaCamacho2014PredictorsOS,
  title={Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model},
  author={Laura Pina-Camacho and Juan Garcia-Prieto and Mara Parellada and Josefina Castro-Fornieles and Ana M Gonz{\'a}lez-Pinto and Igor Bomb{\'i}n and Montserrat Graell and Beatr{\'i}z Paya and Marta Rapado-Castro and Joost Janssen and Inmaculada Baeza and Francisco del Pozo and Manuel Desco and Celso Arango},
  journal={European Child & Adolescent Psychiatry},
  year={2014},
  volume={24},
  pages={427-440}
}
Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challenging. To assess the diagnostic predictive value of multiple types of data at the emergence of early-onset first-episode psychosis (FEP), various support vector machine (SVM) classifiers were developed. The data were from a 2-year, prospective, longitudinal… CONTINUE READING