Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Arya Rahgozar"'
Autor:
Clare Liddy, Daniel I McIsaac, Sathya Karunananthan, Sabrina T Wong, Bishwajit Ghose, Nadia Sourial, Howard Bergman, Hui Yan, Ramtin Hakimjavadi, Samira Abbasgholizadeh Rahimi, Arya Rahgozar, Kunal A Dalsania, Jim LaPlante, Tess McCutcheon, Manpreet Thandi
Publikováno v:
BMJ Open, Vol 13, Iss 12 (2023)
Introduction Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose c
Externí odkaz:
https://doaj.org/article/79ee968f6e514b9b80a24ca468b85476
Autor:
Ramtin Hakimjavadi, Sathya Karunananthan, Celeste Fung, Cheryl Levi, Mary Helmer-Smith, James LaPlante, Mohamed Gazarin, Arya Rahgozar, Amir Afkham, Erin Keely, Clare Liddy
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Frailty is a complex age-related clinical condition that increases vulnerability to stressors. Early recognition of frailty is challenging. While primary care providers (PCPs) serve as the first point of contact for most older adu
Externí odkaz:
https://doaj.org/article/a35f23bc191b47ffb97eca7a3a8c98dd
Autor:
Hui Yan, Arya Rahgozar, Claire Sethuram, Sathya Karunananthan, Douglas Archibald, Lindsay Bradley, Ramtin Hakimjavadi, Mary Helmer-Smith, Kheira Jolin-Dahel, Tess McCutcheon, Jeffrey Puncher, Parisa Rezaiefar, Lina Shoppoff, Clare Liddy
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 6, p e40454 (2022)
Externí odkaz:
https://doaj.org/article/a4fa17760bcd44a4aa9dd2ebfe28a609
Autor:
Hui Yan, Arya Rahgozar, Claire Sethuram, Sathya Karunananthan, Douglas Archibald, Lindsay Bradley, Ramtin Hakimjavadi, Mary Helmer-Smith, Kheira Jolin-Dahel, Tess McCutcheon, Jeffrey Puncher, Parisa Rezaiefar, Lina Shoppoff, Clare Liddy
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 5, p e34575 (2022)
BackgroundThe COVID-19 pandemic has highlighted the growing need for digital learning tools in postgraduate family medicine training. Family medicine departments must understand and recognize the use and effectiveness of digital tools in order to int
Externí odkaz:
https://doaj.org/article/7b14b744999f4ed78b59a3b3f804e8fc
Autor:
Sourial Nadia, Liddy, Clare, McCutcheon, Tess, Yan, Hui, Ramtin Hakimjavadi, Sathya Karunananthan, Kunal Dalsania, Bergman, Howard, Arya Rahgozar, Manpreet Thandi, McIsaac, Daniel I, Ghose, Bishwajit, Wong, Sabrina, LaPlante, Jim, Abbasgholizadeh-Rahimi, Samira
Rapid population aging and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex and heterogeneous presentations of frailty po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5065cbe79211d4b0701970f1b25fa1f3
Publikováno v:
Healthcare informatics.
Publikováno v:
Healthcare services, delivery, and financing.
Autor:
Hui Yan, Arya Rahgozar, Claire Sethuram, Sathya Karunananthan, Douglas Archibald, Lindsay Bradley, Ramtin Hakimjavadi, Mary Helmer-Smith, Kheira Jolin-Dahel, Tess McCutcheon, Jeffrey Puncher, Parisa Rezaiefar, Lina Shoppoff, Clare Liddy
Publikováno v:
JMIR research protocols. 11(5)
Background The COVID-19 pandemic has highlighted the growing need for digital learning tools in postgraduate family medicine training. Family medicine departments must understand and recognize the use and effectiveness of digital tools in order to in
Autor:
Hui Yan, Arya Rahgozar, Claire Sethuram, Sathya Karunananthan, Douglas Archibald, Lindsay Bradley, Ramtin Hakimjavadi, Mary Helmer-Smith, Kheira Jolin-Dahel, Tess McCutcheon, Jeffrey Puncher, Parisa Rezaiefar, Lina Shoppoff, Clare Liddy
BACKGROUND The COVID-19 pandemic has highlighted the growing need for digital learning tools in postgraduate family medicine training. Family medicine departments must understand and recognize the use and effectiveness of digital tools in order to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a44d196abda08d0346ddffc30a1882c
https://doi.org/10.2196/preprints.34575
https://doi.org/10.2196/preprints.34575
Autor:
Diana Inkpen, Arya Rahgozar
Publikováno v:
LaTeCH@NAACL-HLT
We have created two sets of labels for Hafez (1315-1390) poems, using unsupervised learning. Our labels are the only semantic clustering alternative to the previously existing, hand-labeled, gold-standard classification of Hafez poems, to be used for