Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Chloé Pou-Prom"'
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
BackgroundDeploying safe and effective machine learning models is essential to realize the promise of artificial intelligence for improved healthcare. Yet, there remains a large gap between the number of high-performing ML models trained on healthcar
Externí odkaz:
https://doaj.org/article/8d512c5c97d54ae2aa57668fcf552d6d
Autor:
Zhen Yang, Chloé Pou-Prom, Ashley Jones, Michaelia Banning, David Dai, Muhammad Mamdani, Jiwon Oh, Tony Antoniou
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 1, p e25157 (2022)
BackgroundThe Expanded Disability Status Scale (EDSS) score is a widely used measure to monitor disability progression in people with multiple sclerosis (MS). However, extracting and deriving the EDSS score from unstructured electronic health records
Externí odkaz:
https://doaj.org/article/1945cf14b23e4357a61b5491f1a5a8ac
Autor:
Majid Komeili, Chloé Pou-Prom, Daniyal Liaqat, Kathleen C Fraser, Maria Yancheva, Frank Rudzicz
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212342 (2019)
Language is one the earliest capacities affected by cognitive change. To monitor that change longitudinally, we have developed a web portal for remote linguistic data acquisition, called Talk2Me, consisting of a variety of tasks. In order to facilita
Externí odkaz:
https://doaj.org/article/1cd1645ea6864ff3bd1178feb89db318
Autor:
Zhen Yang, Chloé Pou-Prom, Ashley Jones, Michaelia Banning, David Dai, Muhammad Mamdani, Jiwon Oh, Tony Antoniou
Publikováno v:
JMIR Medical Informatics
Background The Expanded Disability Status Scale (EDSS) score is a widely used measure to monitor disability progression in people with multiple sclerosis (MS). However, extracting and deriving the EDSS score from unstructured electronic health record
Autor:
Zhen Yang, Chloé Pou-Prom, Ashley Jones, Michaelia Banning, David Dai, Muhammad Mamdani, Jiwon Oh, Tony Antoniou
BACKGROUND The Expanded Disability Status Scale (EDSS) score is a widely used measure to monitor disability progression in people with multiple sclerosis (MS). However, extracting and deriving the EDSS score from unstructured electronic health record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a9717407150870c2244572bb8fb02c4
https://doi.org/10.2196/preprints.25157
https://doi.org/10.2196/preprints.25157
Autor:
BENYOU WANG1 wangbenyou@cuhk.edu.cn, QIANQIAN XIE2 qianqian.xie@manchester.ac.uk, JIAHUAN PEI3 j.pei@uva.nl, ZHIHONG CHEN4 zhihongchen@link.cuhk.edu.cn, TIWARI, PRAYAG5 prayag.tiwari@ieee.org, ZHAO LI6 lizhao.informatics@gmail.com, JIE FU7 jie.fu@polymtl.ca
Publikováno v:
ACM Computing Surveys. Mar2024, Vol. 56 Issue 3, p1-52. 52p.
Autor:
Komeili, Majid1, Pou-Prom, Chloé2, Liaqat, Daniyal3,4, Fraser, Kathleen C.5, Yancheva, Maria6, Rudzicz, Frank2,3,4,7 frank@cs.toronto.edu
Publikováno v:
PLoS ONE. 3/27/2019, Vol. 14 Issue 3, p1-24. 24p.
Autor:
Verma, Amol A., Murray, Joshua, Greiner, Russell, Cohen, Joseph Paul, Shojania, Kaveh G., Ghassemi, Marzyeh, Straus, Sharon E., Pou-Prom, Chloé, Mamdani, Muhammad
Publikováno v:
Canadian Medical Association Journal (CMAJ); 11/8/2021, Vol. 193 Issue 44, pE1708-E1715, 8p, 2 Diagrams, 1 Chart
Publikováno v:
Journal of Palliative Medicine; Feb2019, Vol. 22 Issue 2, p124-125, 2p
This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advance