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Faraz Hussain

Dados Biográficos

ID7963529
NOMEFaraz Hussain
PRENOMESFaraz
SOBRENOMEHussain
ASSINATURAHUSSAIN F
AFILIAÇÕESIllinois College
ORCID0000-0002-4910-1342
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata

    Open Access•Olusola Ajilore, John S Bark et al.•ARTICLE•Frontiers in Psychiatry•2025

    This pilot study demonstrates that passive, unobtrusive smartphone keystroke metadata can be used to probe cognitive function and dysfunction in bipolar disorder, revealing multi-scalar behavioral features accessible through digital assays

  • The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain Age

    Open Access•John Zulueta, Alexander P Demos et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Research by our group and others have demonstrated the feasibility of using mobile phone derived metadata to model mood and cognition. Given the effects of age and mood on cognitive performance, it was hypothesized that using such data a model could be built to predict chronological age and that differences between predicted age and actual age could be a marker of pathology. Methods: These data were collected via the ongoing BiAffect …

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  • The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain Age

    Open Access•John Zulueta, Alexander P Demos et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Research by our group and others have demonstrated the feasibility of using mobile phone derived metadata to model mood and cognition. Given the effects of age and mood on cognitive performance, it was hypothesized that using such data a model could be built to predict chronological age and that differences between predicted age and actual age could be a marker of pathology. Methods: These data were collected via the ongoing BiAffect …

  • Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata

    Open Access•Olusola Ajilore, John S Bark et al.•ARTICLE•Frontiers in Psychiatry•2025

    This pilot study demonstrates that passive, unobtrusive smartphone keystroke metadata can be used to probe cognitive function and dysfunction in bipolar disorder, revealing multi-scalar behavioral features accessible through digital assays

Bipolar disorder (2 obras) · Bipolar Disorder and Treatment (2 obras) · Clinical Psychology (2 obras) · Clinical Psychology (2 obras) · Cognition (2 obras) · Digital Mental Health Interventions (2 obras) · Medicine (2 obras) · Psychiatry (2 obras) · Psychology (2 obras) · Computer Science (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae