Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Charlene Esteban, Ronquillo"'
Autor:
Sepali Guruge, Paula Lamaj, Charlotte Lee, Charlene Esteban Ronquillo, Souraya Sidani, Ernest Leung, Andrew Ssawe, Jason Altenberg, Hasina Amanzai, Lynn Morrison
Publikováno v:
AIMS Public Health, Vol 8, Iss 1, Pp 172-185 (2021)
Parenting is a demanding undertaking, requiring continuous vigilance to ensure children's emotional, physical, and spiritual well-being. It has become even more challenging in the context of COVID-19 restrictions that have led to drastic changes in f
Externí odkaz:
https://doaj.org/article/2b9e0cae593d48f89745222ac842c429
Autor:
Charlene Esteban Ronquillo, James Mitchell, Dari Alhuwail, Laura-Maria Peltonen, Maxim Topaz, Lorraine J. Block
Publikováno v:
Yearbook of Medical Informatics. 31:094-099
Objectives: The objective of this paper is to draw attention to the currently underused potential of clinical documentation by nursing and allied health professions to improve the representation of social determinants of health (SDoH) and intersectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dba58fc466274583356406a99f0e7a6
https://doi.org/10.1055/s-0042-1742504
https://doi.org/10.1055/s-0042-1742504
Autor:
Siobhan O'Connor, Laura-Maria Peltonen, Charlene Esteban Ronquillo, Charlene Chu, Maxim Topaz, Lu-Yen Anny Chen, Jung Jae Lee
This editorial present a new framework for embedding Artificial Intelligence (AI) in nursing which has been developed by experts in the field. The four key elements of the framework which include education, innovation, collaboration, and implementati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::000b9bc4034907fddbd75ff4050288ff
https://doi.org/10.31219/osf.io/3b8pc
https://doi.org/10.31219/osf.io/3b8pc
Autor:
Hans, Moen, Dari, Alhuwail, Jari, Björne, Lori, Block, Sven, Celin, Eunjoo, Jeon, Karl, Kreiner, James, Mitchell, Gabriela, Ožegović, Charlene Esteban, Ronquillo, Lydia, Sequeira, Jude, Tayaben, Maxim, Topaz, Sai Pavan Kumar, Veeranki, Laura-Maria, Peltonen
Publikováno v:
Studies in health technology and informatics. 290
We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::04237c3578a4e57ff1e177c0769e310c
https://pubmed.ncbi.nlm.nih.gov/35673094
https://pubmed.ncbi.nlm.nih.gov/35673094
Autor:
Hans Moen, Dari Alhuwail, Jari Björne, Lori Block, Sven Celin, Eunjoo Jeon, Karl Kreiner, James Mitchell, Gabriela Ožegović, Charlene Esteban Ronquillo, Lydia Sequeira, Jude Tayaben, Maxim Topaz, Sai Pavan Kumar Veeranki, Laura-Maria Peltonen
We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e3ba1d54d6dbd83c2ccf7860fb0d8a
https://doi.org/10.3233/shti220155
https://doi.org/10.3233/shti220155