Login / Signup

Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Buranee KanchanatawanSira SriswasdiSupaksorn ThikaDrozdstoy StoyanovSunee SirivichayakulAndré F CarvalhoMichel GeffardMichael Maes
Published in: Journal of evaluation in clinical practice (2018)
Previous distinctions including "type 1" (positive)/"type 2" (negative) and DSM-IV-TR (eg, paranoid) schizophrenia could not be validated using machine learning techniques. Previous names of the illness, including schizophrenia, are not very adequate because they do not describe the features of the illness, namely, interrelated neuroimmune, cognitive, and clinical features. Stable-phase schizophrenia consists of 2 relevant qualitatively distinct categories or nosological entities with SNP being a less well-developed phenotype, while MNP is the full blown phenotype or core illness. Major neurocognitive psychosis and SNP should be added to the DSM-5 and incorporated into the Research Domain Criteria project.
Keyphrases
  • bipolar disorder
  • machine learning
  • genome wide
  • data analysis