Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Randy A. Boley"'
Autor:
Majid Afshar, Brihat Sharma, Sameer Bhalla, Hale M. Thompson, Dmitriy Dligach, Randy A. Boley, Ekta Kishen, Alan Simmons, Kathryn Perticone, Niranjan S. Karnik
Publikováno v:
Addiction Science & Clinical Practice, Vol 16, Iss 1, Pp 1-11 (2021)
Abstract Background Opioid misuse screening in hospitals is resource-intensive and rarely done. Many hospitalized patients are never offered opioid treatment. An automated approach leveraging routinely captured electronic health record (EHR) data may
Externí odkaz:
https://doaj.org/article/a4ea7ebb4bed4e259e99f200a8b04b61
Autor:
Philip Held, Alyson K. Zalta, Dale L. Smith, Jenna M. Bagley, Victoria L. Steigerwald, Randy A. Boley, Michelle Miller, Michael B. Brennan, Rebecca Van Horn, Mark H. Pollack
Publikováno v:
European Journal of Psychotraumatology, Vol 11, Iss 1 (2020)
Background Intensive treatment programmes (ITPs) have shown promise for reducing PTSD and depression symptoms. It is still unknown whether treatment gains are maintained following completion. Objective This study examined whether veterans were able t
Externí odkaz:
https://doaj.org/article/fb6173e67b3c43df8e13dc5e41d13553
Autor:
Alyson K. Zalta, Philip Held, Dale L. Smith, Brian J. Klassen, Ashton M. Lofgreen, Patricia S. Normand, Michael B. Brennan, Thad S. Rydberg, Randy A. Boley, Mark H. Pollack, Niranjan S. Karnik
Publikováno v:
BMC Psychiatry, Vol 18, Iss 1, Pp 1-15 (2018)
Abstract Background Intensive delivery of evidence-based treatment for posttraumatic stress disorder (PTSD) is becoming increasingly popular for overcoming barriers to treatment for veterans. Understanding how and for whom these intensive treatments
Externí odkaz:
https://doaj.org/article/f17f9aacaf3a49a99d3a6187e15b5bf0
Autor:
Robin M. Voigt, Alyson K. Zalta, Shohreh Raeisi, Lijuan Zhang, J. Mark Brown, Christopher B. Forsyth, Randy A. Boley, Philip Held, Mark H. Pollack, Ali Keshavarzian
Publikováno v:
American journal of physiology. Gastrointestinal and liver physiology. 323(2)
Posttraumatic stress disorder (PTSD) is a psychiatric disorder, resulting from exposure to traumatic events. Current recommended first-line interventions for the treatment of PTSD include evidence-based psychotherapies, such as cognitive processing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15bdec23163e9924f33de645014a7bd3
https://pubmed.ncbi.nlm.nih.gov/35638693
https://pubmed.ncbi.nlm.nih.gov/35638693
Autor:
Yousaf Ilyas, Shahrzad Hassanbeigi Daryani, Dona Kiriella, Paul Pachwicewicz, Randy A Boley, Karen M Reyes, Dale L Smith, Alyson K Zalta, Stephen M Schueller, Niranjan S Karnik, Colleen Stiles-Shields
Background Despite significant research done on youth experiencing homelessness, few studies have examined movement patterns and digital habits in this population. Examining these digital behaviors may provide useful data to design new digital health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d07f0552c7e30bb0314b2241a2710b
As the classification of mental disorders advances towards a disease model as promoted by the National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC), there is hope that a more thorough neurobiological understanding of mental illne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::815ce39ec2f3780ed379fea45936b59a
Autor:
Jawad Khan, Angela C Glover, Michael B. Brennan, Niranjan S. Karnik, Walter Faig, Brian D Patty, Randy A. Boley, John A O'Toole, Bala Hota, Imran Desai, S Shafiq Rab, Alyson K. Zalta, Shannon Sims, Rebecca Van Horn, Mark H. Pollack, Philip Held
Publikováno v:
JMIR formative research, vol 4, iss 4
JMIR Formative Research
JMIR Formative Research, Vol 4, Iss 4, p e17429 (2020)
JMIR Formative Research
JMIR Formative Research, Vol 4, Iss 4, p e17429 (2020)
Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c5585cd75682731545f3f0178948c9b
Autor:
Brihat Sharma, Kathryn Basques, Niranjan S. Karnik, Randy A. Boley, Majid Afshar, Yiqi Lin, Neeraj Chhabra, Hale M Thompson
Publikováno v:
Addiction
BACKGROUND AND AIMS: Unhealthy alcohol use (UAU) is one of the leading causes of global morbidity. A machine learning approach to alcohol screening could accelerate best practices when integrated into electronic health record (EHR) systems. This stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b2e503530ea184dcc129164c9ca763
https://doi.org/10.1111/add.15730
https://doi.org/10.1111/add.15730
Autor:
Hale M Thompson, Matthew M. Churpek, Majid Afshar, Niranjan S. Karnik, Brihat Sharma, Connor McCluskey, Sameer Bhalla, Dmitriy Dligach, Randy A. Boley
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objectives To assess fairness and bias of a previously validated machine learning opioid misuse classifier. Materials & Methods Two experiments were conducted with the classifier’s original (n = 1000) and external validation (n = 53 974) datasets f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbdcadc0e45799bb928e9aa872dc29f
http://europepmc.org/articles/PMC8510285
http://europepmc.org/articles/PMC8510285
Autor:
Connor McCluskey, Niranjan S. Karnik, Yousaf Ilyas, Robert A. Balk, Dale L. Smith, Randy A. Boley, Majid Afshar, Ali Keshavarzian, Sameer Bhalla, Brihat Sharma
Publikováno v:
JMIR Public Health and Surveillance
Background Unhealthy alcohol use (UAU) is known to disrupt pulmonary immune mechanisms and increase the risk of acute respiratory distress syndrome in patients with pneumonia; however, little is known about the effects of UAU on outcomes in patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bc16a1ad53ea5c055f133c370ad57c