Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jason Usher"'
Autor:
Emily E Haroz, Fiona Grubin, Novalene Goklish, Shardai Pioche, Mary Cwik, Allison Barlow, Emma Waugh, Jason Usher, Matthew C Lenert, Colin G Walsh
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 9, p e24377 (2021)
BackgroundMachine learning algorithms for suicide risk prediction have been developed with notable improvements in accuracy. Implementing these algorithms to enhance clinical care and reduce suicide has not been well studied. ObjectiveThis study aim
Externí odkaz:
https://doaj.org/article/eb15768bf0014de2b50a016c281ba123
Autor:
Emma Waugh, Jerreed Ivanich, Victoria O'Keefe, Jason Usher, Emily Haroz, Novalene Goklish, Gloria Kastler, Paul Nestadt, Mary Cwik
Publikováno v:
The Journal of Rural Health. 39:179-185
Morbidity and mortality due to nonprescription use of opioids has been well documented following the significant increase in the availability of prescription opioids in the early 2000s. The aim of this paper is to explore community beliefs about corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f25e8880802575691ead7e657df91dbf
https://doi.org/10.1111/jrh.12662
https://doi.org/10.1111/jrh.12662
Autor:
Emily E Haroz, Fiona Grubin, Novalene Goklish, Shardai Pioche, Mary Cwik, Allison Barlow, Emma Waugh, Jason Usher, Matthew C Lenert, Colin G Walsh
BACKGROUND Machine learning algorithms for suicide risk prediction have been developed with notable improvements in accuracy. Implementing these algorithms to enhance clinical care and reduce suicide has not been well studied. OBJECTIVE This study ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7740f3131c5fa43e5a6f3dd21571551
https://doi.org/10.2196/preprints.24377
https://doi.org/10.2196/preprints.24377
Autor:
Allison Barlow, Novalene Goklish, Shardai Pioche, Colin G. Walsh, Fiona Grubin, Emily E. Haroz, Jason Usher, Mary F. Cwik, Matthew C. Lenert, Emma Waugh
Publikováno v:
JMIR Public Health and Surveillance
Background Machine learning algorithms for suicide risk prediction have been developed with notable improvements in accuracy. Implementing these algorithms to enhance clinical care and reduce suicide has not been well studied. Objective This study ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a402055c66cb894f54e774d01aeb36b3
https://doi.org/10.2196/24377
https://doi.org/10.2196/24377