Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Joannas Jie Lin Yeow"'
Autor:
Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Hermione Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Yu Heng Tan
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. Here, the authors develop an artificial intelligence algorithm which us
Externí odkaz:
https://doaj.org/article/f98ccc25d03c4520b342766bf3d9b25c
Autor:
Le Wang, Kim Huat Goh, Adrian Yeow, Hermione Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Tan, Christina Soh
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 2, p e23355 (2022)
BackgroundPrior literature suggests that alert dismissal could be linked to physicians’ habits and automaticity. The evidence for this perspective has been mainly observational data. This study uses log data from an electronic medical records syste
Externí odkaz:
https://doaj.org/article/fbc5e946c7ba4e2f930907d9779dd5cb
Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study
Autor:
Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Yew Yoong Ding, Lydia Shu Yi Au, Hermione Mei Niang Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Yu Heng Tan
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 10, p e26486 (2021)
BackgroundPrior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are r
Externí odkaz:
https://doaj.org/article/3c645032679a4bd78fe08521972b3888
Autor:
Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Yew Yoong Ding, Lydia Shu Yi Au, Hermione Mei Niang Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Yu Heng Tan
BACKGROUND Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf303bbae707e7c718c1a691985acd94
https://doi.org/10.2196/preprints.26486
https://doi.org/10.2196/preprints.26486
Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study
Autor:
Gamaliel Yu Heng Tan, Adrian Yeow, Hermione Mei Niang Poh, Lydia Shu Yi Au, Kim Huat Goh, Le Wang, Joannas Jie Lin Yeow, Ke Li, Yew Yoong Ding
Publikováno v:
Journal of Medical Internet Research
Background Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae235eea1eed46915ff43f2c9c483e29
https://doi.org/10.2196/26486
https://doi.org/10.2196/26486
Autor:
Gamaliel Yu Heng Tan, Ke Li, Joannas Jie Lin Yeow, Adrian Yeow, Hermione Mei Niang Poh, Le Wang, Kim Huat Goh
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artifici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6faf1c2307d7d97e302ebd91f4ae333e
https://pubmed.ncbi.nlm.nih.gov/33514699
https://pubmed.ncbi.nlm.nih.gov/33514699
Autor:
Wei Han Ng, Hwee Ping Tan, Weng Hoe Low, Ka-Mun Tong, Joannas Jie Lin Yeow, San Muan Too, Chwee Khim Khoo, Samuel Zhe Yee Lim
Publikováno v:
Alzheimer's & Dementia. 15:P1155-P1155
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c503a3cc3749b2cadf73e33e830be8c5
https://doi.org/10.1016/j.jalz.2019.06.3523
https://doi.org/10.1016/j.jalz.2019.06.3523