Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives

Recently, we developed a machine-learning algorithm “EMPaSchiz” that learns, from a training set of schizophrenia patients and healthy individuals, a model that predicts if a novel individual has schizophrenia, based on features extracted from his/her resting-state functional magnetic resonance imag...

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Detalhes bibliográficos
Publicado no:NPJ Schizophr
Main Authors: Kalmady, Sunil Vasu, Paul, Animesh Kumar, Greiner, Russell, Agrawal, Rimjhim, Amaresha, Anekal C., Shivakumar, Venkataram, Narayanaswamy, Janardhanan C., Greenshaw, Andrew J., Dursun, Serdar M., Venkatasubramanian, Ganesan
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Brief Communication
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7648110/
https://ncbi.nlm.nih.gov/pubmed/33159092
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41537-020-00119-y
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