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Towards A New Model and Classification of Mood Disorders based on Risk Resilience, Neuro-Affective Toxicity, Staging, and Phenome Features Using the Nomothetic Network Psychiatry Approach

2020-09-25

Abstract excerpt

Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to explain how machine learning techniques can be used to a) construct a model which ensembles risk/resilience (R/R), adverse outcome pathways (AOPs), staging, and the phenome of mood disorders, and b) disclose new classes based on these feature sets. This study was conducted using data of 67 healthy controls and 105 mood...

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Literature Corpus work
8cb7d4eb-3aea-59fd-b5e1-bd3a256d8d15
DOI
10.20944/preprints202009.0610.v1
Open publication

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Towards A New Model and Classification of Mood Disorders based on Risk Resilience, Neuro-Affective Toxicity, Staging, and Phenome Features Using the Nomothetic Network Psychiatry ApproachDOI 10.20944/preprints202009.0610.v1
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