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Akademický článek

Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Autor: Dong Whi Yoo, Sindhu Kiranmai Ernala, Bahador Saket, Domino Weir, Elizabeth Arenare, Asra F Ali, Anna R Van Meter, Michael L Birnbaum, Gregory D Abowd, Munmun De Choudhury

Publikováno v: JMIR Mental Health, Vol 8, Iss 11, p e25455 (2021)

BackgroundPrevious studies have suggested that social media data, along with machine learning algorithms, can be used to generate computational mental health insights. These computational insights have the potential to support clinician-patient commu

Externí odkaz: https://doaj.org/article/af729e3e51e8493e8c6714314049f008

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A Social Media Study on Mental Health Status Transitions Surrounding Psychiatric Hospitalizations

Autor: Amir Bolous, Munmun De Choudhury, Sindhu Kiranmai Ernala, Michael L. Birnbaum, Kathan H. Kashiparekh, John Kane, Asra F Ali

Publikováno v: Proc ACM Hum Comput Interact

For people diagnosed with a mental illness, psychiatric hospitalization is one step in a long journey, consisting of clinical recovery such as removal of symptoms, and social reintegration involving resuming social roles and responsibilities, overcom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a974ecb883bdeac69026dd3b5046f7b3
https://doi.org/10.1145/3449229

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Validation of a novel Psychosis-Implicit Association Test (P-IAT) as a diagnostic support tool

Autor: Michael A. Kirschenbaum, Leonardo V. Lopez, Renato de Filippis, Asra F. Ali, Alexander J. Millner, Matthew K. Nock, John M. Kane

Publikováno v: Psychiatry research. 314

Despite significant advances in early-intervention services for psychosis, delays in identifying patients continue to impede the delivery of prompt and effective treatments. We sought to develop and preliminarily validate a self-administered psychosi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b39df57cb2ab77b65cfbedad11b3888
https://pubmed.ncbi.nlm.nih.gov/35660967

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Internet Search Activity of Young People With Mood Disorders Who Are Hospitalized for Suicidal Thoughts and Behaviors: Qualitative Study of Google Search Activity

Autor: Asra F Ali, Michael L. Birnbaum, Khatiya C Moon, Michael A. Kirschenbaum, Anna Van Meter, John M. Kane

Publikováno v: JMIR Mental Health

Background Little is known about the internet search activity of people with suicidal thoughts and behaviors (STBs). This data source has the potential to inform both clinical and public health efforts, such as suicide risk assessment and prevention.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83c3851b07b003384a1e5527703844a1
https://pubmed.ncbi.nlm.nih.gov/34677139

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Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook

Autor: Asra F Ali, Nicole Germano, Anna Van Meter, Elizabeth Arenare, John M. Kane, Guillermo A. Cecchi, Michael L. Birnbaum, Raquel Norel, Carla Agurto, Elif Eyigöz

Publikováno v: NPJ Schizophrenia

Prior research has identified associations between social media activity and psychiatric diagnoses; however, diagnoses are rarely clinically confirmed. Toward the goal of applying novel approaches to improve outcomes, research using real patient data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac218499522b7bcef7cd405a6f70bab
http://europepmc.org/articles/PMC7713057

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Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype (Preprint)

Autor: Dong Whi Yoo, Sindhu Kiranmai Ernala, Bahador Saket, Domino Weir, Elizabeth Arenare, Asra F Ali, Anna R Van Meter, Michael L Birnbaum, Gregory D Abowd, Munmun De Choudhury

BACKGROUND Previous studies have suggested that social media data, along with machine learning algorithms, can be used to generate computational mental health insights. These computational insights have the potential to support clinician-patient comm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6d86158c3bf7cce753140330d899a9d
https://doi.org/10.2196/preprints.25455

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Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach

Autor: Asra F Ali, Munmun De Choudhury, Anna Van Meter, Elizabeth Arenare, Dong Whi Yoo, Michael L. Birnbaum, Gregory D. Abowd

Publikováno v: JMIR Mental Health, Vol 7, Iss 8, p e16969 (2020)
JMIR Mental Health

BackgroundRecent research has emphasized the need for accessing information about patients to augment mental health patients’ verbal reports in clinical settings. Although it has not been introduced in clinical settings, computational linguistic an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6320dd5f74006c8dce836b79319eb0e2
http://mental.jmir.org/2020/8/e16969/

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Designing a Clinician-Facing Tool for Using Insights From Patients’ Social Media Activity: Iterative Co-Design Approach (Preprint)

Autor: Dong Whi Yoo, Michael L Birnbaum, Anna R Van Meter, Asra F Ali, Elizabeth Arenare, Gregory D Abowd, Munmun De Choudhury

BACKGROUND Recent research has emphasized the need for accessing information about patients to augment mental health patients’ verbal reports in clinical settings. Although it has not been introduced in clinical settings, computational linguistic a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d925d6133773dafd1606f8810231fc4
https://doi.org/10.2196/preprints.16969

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