Applying machine learning to smartphone based cognitive and sleep assessments in schizophrenia.

ABSTRACT:

Background

Cognitive impairment in schizophrenia remains a chief source of functional disability and impairment, despite the potential for effective interventions. This is in part related to a lack of practical and easy to administer screening strategies that can identify and help triage cognitive impairment. This study explores how smartphone-based assessments may help address this need.

Methods

In this study, data was analyzed from 25 subjects with schizophrenia and 30 controls who engaged with a gamified mobile phone version of the Trails-B cognitive assessment in their everyday life over 90 days and complete a clinical neurocognitive testing battery at the beginning and end of the study. Machine learning was applied to the resulting dataset to predict disease status and

SUBMITTER: Kalinich M 

PROVIDER: S-EPMC8655108 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature