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John M Kane

Datos Biográficos

ID7370545
NOMBREJohn M Kane
NOMBRESJohn M
APELLIDOKane
FIRMAKANE J M
AFILIACIONESDonald & Barbara Zucker School of Medicine at Hofstra/Northwell
ORCID0000-0002-2628-9442
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2005
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Digital Strategies to Accelerate Help-Seeking in Youth With Psychiatric Concerns in New York State

    Open Access•Michael L Birnbaum, Chantel Garrett et al.•ARTICLE•Frontiers in Psychiatry•2022

    Self-reported symptomatology impact trajectories to care, even at the earliest stages of help-seeking, while youth and their allies are searching for information online. An online care navigation team could serve as an important resource for individuals with emerging behavioral health concerns and help to guide the transition between online information seeking at baseline to care

  • Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders

    Open Access•Katrin Hänsel, Inna Wanyin Lin et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further stren…

  • MHealth-Assisted Detection of Precursors to Relapse in Schizophrenia

    Open Access•Benjamin Buck, Kevin A Hallgren et al.•ARTICLE•Frontiers in Psychiatry•2021

    Theoretical views and a growing body of empirical evidence suggest that psychiatric relapses in schizophrenia-spectrum disorders (SSDs) have measurable warning signs. However, because they are time- and resource-intensive, existing assessment approaches are not well-suited to detect these warning signs in a timely, scalable fashion. Mobile technologies deploying frequent measurements-i.e., ecological momentary assessment-could be leveraged to det…

  • Comparison of Early Intervention Services vs Treatment as Usual for Early-Phase Psychosis

    Christoph U Correll, Britta Galling et al.•ARTICLE•JAMA Psychiatry•2018

  • Remission in Schizophrenia

    Nancy C Andreasen, Will Tom Carpenter et al.•ARTICLE•American Journal of Psychiatry•2005

    New advances in the understanding of schizophrenia etiology, course, and treatment have increased interest on the part of patients, families, advocates, and professionals in the development of consensus-defined standards for clinical status and improvement, including illness remission and recovery. As demonstrated in the area of mood disorders, such standards provide greater clarity around treatment goals, as well as an improved framework for the…

Sin obras prominentes en esta página.

  • Remission in Schizophrenia

    Nancy C Andreasen, Will Tom Carpenter et al.•ARTICLE•American Journal of Psychiatry•2005

    New advances in the understanding of schizophrenia etiology, course, and treatment have increased interest on the part of patients, families, advocates, and professionals in the development of consensus-defined standards for clinical status and improvement, including illness remission and recovery. As demonstrated in the area of mood disorders, such standards provide greater clarity around treatment goals, as well as an improved framework for the…

  • Comparison of Early Intervention Services vs Treatment as Usual for Early-Phase Psychosis

    Christoph U Correll, Britta Galling et al.•ARTICLE•JAMA Psychiatry•2018

  • Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders

    Open Access•Katrin Hänsel, Inna Wanyin Lin et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further stren…

  • MHealth-Assisted Detection of Precursors to Relapse in Schizophrenia

    Open Access•Benjamin Buck, Kevin A Hallgren et al.•ARTICLE•Frontiers in Psychiatry•2021

    Theoretical views and a growing body of empirical evidence suggest that psychiatric relapses in schizophrenia-spectrum disorders (SSDs) have measurable warning signs. However, because they are time- and resource-intensive, existing assessment approaches are not well-suited to detect these warning signs in a timely, scalable fashion. Mobile technologies deploying frequent measurements-i.e., ecological momentary assessment-could be leveraged to det…

  • Digital Strategies to Accelerate Help-Seeking in Youth With Psychiatric Concerns in New York State

    Open Access•Michael L Birnbaum, Chantel Garrett et al.•ARTICLE•Frontiers in Psychiatry•2022

    Self-reported symptomatology impact trajectories to care, even at the earliest stages of help-seeking, while youth and their allies are searching for information online. An online care navigation team could serve as an important resource for individuals with emerging behavioral health concerns and help to guide the transition between online information seeking at baseline to care

Medicine (4 obras) · Psychiatry (4 obras) · Psychology (4 obras) · Schizophrenia research and treatment (3 obras) · Clinical Psychology (2 obras) · Computer Science (2 obras) · Digital Mental Health Interventions (2 obras) · Mood (2 obras) · Psychological intervention (2 obras) · Schizophrenia (object-oriented programming (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae