Cargando…

Identifying emerging mental illness utilizing search engine activity: A feasibility study

Mental illness often emerges during the formative years of adolescence and young adult development and interferes with the establishment of healthy educational, vocational, and social foundations. Despite the severity of symptoms and decline in functioning, the time between illness onset and receivi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Birnbaum, Michael L., Wen, Hongyi, Van Meter, Anna, Ernala, Sindhu K., Rizvi, Asra F., Arenare, Elizabeth, Estrin, Deborah, De Choudhury, Munmun, Kane, John M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567375/ https://www.ncbi.nlm.nih.gov/pubmed/33064759 http://dx.doi.org/10.1371/journal.pone.0240820

Ejemplares similares

Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study
por: Birnbaum, Michael Leo, et al.
Publicado: (2020)

O9.2. IDENTIFYING PSYCHOTIC SYMPTOMS AND PREDICTING RELAPSE THROUGH SOCIAL MEDIA
por: Birnbaum, Michael, et al.
Publicado: (2018)

A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals
por: Birnbaum, Michael L, et al.
Publicado: (2017)

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype
por: Yoo, Dong Whi, et al.
Publicado: (2021)

Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook
por: Birnbaum, M. L., et al.
Publicado: (2019)

Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
por: Birnbaum, Michael L., et al.
Publicado: (2020)

Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach
por: Yoo, Dong Whi, et al.
Publicado: (2020)

Internet Search Activity of Young People With Mood Disorders Who Are Hospitalized for Suicidal Thoughts and Behaviors: Qualitative Study of Google Search Activity
por: Moon, Khatiya C, et al.
Publicado: (2021)

Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data
por: Rochford, Ben, et al.
Publicado: (2023)

Social Media Discussions Predict Mental Health Consultations on College Campuses
por: Saha, Koustuv, et al.
Publicado: (2022)

Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development
por: Birnbaum, Michael L, et al.
Publicado: (2022)

Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders
por: Hänsel, Katrin, et al.
Publicado: (2021)

F120. USING DIGITAL MEDIA ADVERTISING IN EARLY PSYCHOSIS INTERVENTION
por: Birnbaum, Michael, et al.
Publicado: (2018)

The Digital Mind: New Concepts in Mental Health 1: The promise of a model-based psychiatry: building computational models of mental ill health
por: Hauser, Tobias U, et al.
Publicado: (2022)

Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study
por: Nguyen, Viet Cuong, et al.
Publicado: (2022)

A call for open data to develop mental health digital biomarkers
por: Adler, Daniel A., et al.
Publicado: (2022)

Methods in predictive techniques for mental health status on social media: a critical review
por: Chancellor, Stevie, et al.
Publicado: (2020)

Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates
por: Saha, Koustuv, et al.
Publicado: (2017)

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study
por: Nghiem, Jodie, et al.
Publicado: (2023)

Understanding the Role of Social Media–Based Mental Health Support Among College Students: Survey and Semistructured Interviews
por: Vornholt, Piper, et al.
Publicado: (2021)

Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study”
por: Resnik, Philip, et al.
Publicado: (2021)

Utilization of a Radiology-Centric Search Engine
por: Sharpe, Richard E., et al.
Publicado: (2009)

Feasibility Testing of an Automated Image-Capture Method to Aid Dietary Recall
por: Arab, Lenore, et al.
Publicado: (2011)

Examining the impact of sharing COVID-19 misinformation online on mental health
por: Verma, Gaurav, et al.
Publicado: (2022)

Feasibility, Acceptability, and Potential Utility of Peer-supported Ecological Momentary Assessment Among People with Serious Mental Illness: a Pilot Study
por: Fortuna, Karen L., et al.
Publicado: (2022)

Digital Technology in Psychiatry: Survey Study of Clinicians
por: Sterling, William Andrew, et al.
Publicado: (2022)

Feasibility and acceptability of strategies to address mental health and mental ill-health in the Australian coal mining industry
por: Tynan, Ross J., et al.
Publicado: (2018)

Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness
por: Nakagome, Kazuyuki, et al.
Publicado: (2023)

Feasibility and acceptability of Facebook for health promotion among people with serious mental illness
por: Naslund, John A, et al.
Publicado: (2016)

Feasibility of peer support services among people with severe mental illness in China
por: Fan, Yunge, et al.
Publicado: (2019)

Digital Medicine System in Veterans With Severe Mental Illness: Feasibility and Acceptability Study
por: Gonzales, Sarah, et al.
Publicado: (2022)

mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study
por: Wen, Hongyi, et al.
Publicado: (2021)

Trends of utilization of government disability benefits among chronic mentally ill
por: Kashyap, Kartik, et al.
Publicado: (2012)

Survey datasets on patterns of utilization of mental healthcare services among people living with mental illness
por: Olawande, Tomike I., et al.
Publicado: (2018)

Electronic personal health records for people with severe mental illness; a feasibility study
por: Robotham, Dan, et al.
Publicado: (2015)

Defining Severe and Persistent Mental Illness—A Pragmatic Utility Concept Analysis
por: Zumstein, Naomi, et al.
Publicado: (2020)

In Search of Inner Wisdom: Guided Mindfulness Meditation in the Context of Suicide
por: Birnbaum, Liora, et al.
Publicado: (2004)

Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS)
por: Senior, Morwenna, et al.
Publicado: (2020)

Feasibility, engineering aspects and physics reach of microwave cavity experiments searching for hidden photons and axions
por: Caspers, Fritz, et al.
Publicado: (2009)

T239. INDIVIDUAL AND NEIGHBORHOOD PREDICTORS OF OUTPATIENT MENTAL HEALTH SERVICE UTILIZATION AMONG PERSONS WITH SERIOUS MENTAL ILLNESSES
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_5pks01933o045gvtj42jdsqb71