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Nicholas Carson
Researcher at Cambridge Health Alliance
Publications - 46
Citations - 1610
Nicholas Carson is an academic researcher from Cambridge Health Alliance. The author has contributed to research in topics: Mental health & Health care. The author has an hindex of 16, co-authored 43 publications receiving 1292 citations. Previous affiliations of Nicholas Carson include National Taipei University & Harvard University.
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Journal ArticleDOI
Assessing racial/ethnic disparities in treatment across episodes of mental health care.
Benjamin Lê Cook,Samuel H. Zuvekas,Nicholas Carson,Geoffrey Ferris Wayne,Andrew Vesper,Thomas G. McGuire +5 more
TL;DR: Disparities in adequate care were driven by initiation disparities, reinforcing the need for policies that improve access and suggesting inadequate medication guidance.
Journal ArticleDOI
Disparities in treatment for substance use disorders and co-occurring disorders for ethnic/racial minority youth.
TL;DR: A literature review of behavioral health services for minority youth suggests promising venues to decrease ethnic and racial disparities in behavioral health Services for ethnic andracial minority youth.
Journal ArticleDOI
Activation, Self-management, Engagement, and Retention in Behavioral Health Care: A Randomized Clinical Trial of the DECIDE Intervention
Margarita Alegría,Margarita Alegría,Nicholas Carson,Nicholas Carson,Michael Flores,Xinliang Li,Xinliang Li,Ping Shi,Anna Sophia Lessios,Anna Sophia Lessios,Antonio J. Polo,Michele L. Allen,Mary Fierro,Alejandro Interian,Aida L. Jiménez,Catherine Lee,Roberto Lewis-Fernández,Gabriela Livas-Stein,Laura Safar,Catherine C. Schuman,Joan E. Storey,Patrick E. Shrout +21 more
TL;DR: The DECIDE intervention appears to help patients learn to effectively ask questions and participate in decisions about their behavioral health care, but a health care professional component might be needed to augment engagement in care.
Journal ArticleDOI
Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records
Nicholas Carson,Brian Mullin,Maria Jose Sanchez,Maria Jose Sanchez,Frederick Lu,Kelly Guanhua Yang,Kelly Guanhua Yang,Michelle Menezes,Michelle Menezes,Benjamin Lê Cook,Benjamin Lê Cook +10 more
TL;DR: In this paper, the authors describe the development and evaluation of a machine learning algorithm using natural language processing of electronic health records to identify suicidal behavior among psychiatrically hospitalized adolescents, and apply the random forest machine learning method to develop a classification model.