Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shardai Pioche"'
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:
Fiona Grubin, Tara L. Maudrie, Sophie Neuner, Maisie Conrad, Emma Waugh, Allison Barlow, Ashleigh Coser, Kyle Hill, Shardai Pioche, Emily E. Haroz, Victoria M. O’Keefe
Publikováno v:
Journal of prevention (2022). 43(5)
The coronavirus disease 19 (COVID-19) pandemic is broadly affecting the mental health and well-being of people around the world, and disproportionately affecting some groups with already pre-existing health inequities. Two groups at greater risk of p
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