Zobrazeno 1 - 10
of 52
pro vyhledávání: '"R Yates Coley"'
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background There is increasing interest in clinical prediction models for rare outcomes such as suicide, psychiatric hospitalizations, and opioid overdose. Accurate model validation is needed to guide model selection and decisions about whet
Externí odkaz:
https://doaj.org/article/ce1e0b6fca324b9589c7c8bad33d9094
Publikováno v:
Journal of Affective Disorders Reports, Vol 6, Iss , Pp 100198- (2021)
Predictive analytics with electronic health record (EHR) data holds promise for improving outcomes of psychiatric care. This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. EHR data from
Externí odkaz:
https://doaj.org/article/2d81393c2a0a43338c77373a963815cc
Autor:
Gregory E Simon, Susan M Shortreed, Jennifer M Boggs, Gregory N Clarke, Rebecca C Rossom, Julie E Richards, Arne Beck, Brian K Ahmedani, Karen J Coleman, Bhumi Bhakta, Christine C Stewart, Stacy Sterling, Michael Schoenbaum, R Yates Coley, Marc Stone, Andrew D Mosholder, Zimri S Yaseen
Publikováno v:
Journal of the American Medical Informatics Association. 29:2023-2031
Objective Assess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events. Materials and Methods In 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records
Autor:
Melissa L. Harry, Katherine Sanchez, Brian K. Ahmedani, Arne L. Beck, Karen J. Coleman, R. Yates Coley, Yihe G. Daida, Frances L. Lynch, Rebecca C. Rossom, Stephen C. Waring, Gregory E. Simon
Publikováno v:
Journal of Affective Disorders.
Autor:
Susan M. Shortreed, Rod L. Walker, Eric Johnson, Robert Wellman, Maricela Cruz, Rebecca Ziebell, R. Yates Coley, Zimri S. Yaseen, Sai Dharmarajan, Robert B. Penfold, Brian K. Ahmedani, Rebecca C. Rossom, Arne Beck, Jennifer M. Boggs, Greg E. Simon
Publikováno v:
npj Digital Medicine. 6
Suicide risk prediction models can identify individuals for targeted intervention. Discussions of transparency, explainability, and transportability in machine learning presume complex prediction models with many variables outperform simpler models.
Autor:
R. Yates Coley, Julia J. Smith, Leah Karliner, Abisola E. Idu, Sei J. Lee, Sharon Fuller, Rosemary Lam, Deborah E. Barnes, Sascha Dublin
Publikováno v:
Journal of general internal medicine, vol 38, iss 2
BackgroundFifty percent of people living with dementia are undiagnosed. The electronic health record (EHR) Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) was developed to identify older adults at risk of having undiagnosed dementia using r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4986671045c5dc1f3c8aeeb5cd1604c3
https://escholarship.org/uc/item/6bg9384v
https://escholarship.org/uc/item/6bg9384v
Autor:
R Yates Coley, Julia J Smith, Leah Karliner, Sei J Lee, Sharon Fuller, Rosemary Lam, Deborah E Barnes, Sascha Dublin
Publikováno v:
Alzheimer's & Dementia. 18
Autor:
Maricela Cruz, Susan M. Shortreed, Julie E. Richards, R. Yates Coley, Bobbi Jo Yarborough, Rod L. Walker, Eric Johnson, Brian K. Ahmedani, Rebecca Rossom, Karen J. Coleman, Jennifer M. Boggs, Arne L. Beck, Gregory E. Simon
Publikováno v:
The Journal of clinical psychiatry. 83(5)
Publikováno v:
Journal of Adolescent Health. 72:S21
Autor:
Ernesto Ulloa-Pérez, Paula R Blasi, Emily O Westbrook, Paula Lozano, Katie F Coleman, R Yates Coley
Publikováno v:
Perm J
INTRODUCTION: Missed clinic appointments (“no-shows”) waste health system resources, decrease physician availability, and may worsen patient outcomes. Appointment reminders reduce no-shows, though evidence on the optimal number of reminders is li