Article
Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.
Schizophrenia bulletin - 1 Mar 2022
Narkhede Sayli M, Luther Lauren, Raugh Ian M, Knippenberg Anna R, Esfahlani Farnaz Zamani, Sayama Hiroki, Cohen Alex S, Kirkpatrick Brian, Strauss Gregory P
Abstract excerpt
BACKGROUND: Digital phenotyping has been proposed as a novel assessment tool for clinical trials targeting negative symptoms in psychotic disorders (PDs). However, it is unclear which digital phenotyping measurements are most appropriate for this purpose. AIMS: Machine learning was used to address this gap in the literature and determine whether: (1) diagnostic status could be classified from digital phenotyping...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.