Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Han-Leong Goh"'
Autor:
Chin Wen Tan, Juan Zhen Koh, Hanwei Jin, Nian-Lin Reena Han, Shang-Ming Cheng, Andy Wee An Ta, Han Leong Goh, Ban Leong Sng
Publikováno v:
Heliyon, Vol 10, Iss 23, Pp e40602- (2024)
Background: A major barrier to optimal pain management is the difficulty in predicting and assessing patients at high risk for significant pain across multiple locations within the institution in a timely manner. This is compounded by the fragmented
Externí odkaz:
https://doaj.org/article/1a7680342acd44619ffc1a06525177df
Autor:
John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gia Lee Ang, Andy Wee An Ta, Steven M. Miller
Publikováno v:
Health Care Science, Vol 2, Iss 3, Pp 153-163 (2023)
Abstract In a prior practice and policy article published in Healthcare Science, we introduced the deployed application of an artificial intelligence (AI) model to predict longer‐term inpatient readmissions to guide community care interventions for
Externí odkaz:
https://doaj.org/article/f2beb32efe814cfc9a3bdf9c5abc52a6
Publikováno v:
Health Care Science, Vol 1, Iss 2, Pp 41-57 (2022)
Abstract This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation‐wide screening programs. The first example is embedded within the setting of a national level population
Externí odkaz:
https://doaj.org/article/11ce19301d6a4f668a019ccee23e6233
Autor:
Lin Zou, Han Leong Goh, Charlene Jin Yee Liew, Jessica Lishan Quah, Gary Tianyu Gu, Jun Jie Chew, Mukundaram Prem Kumar, Christine Gia Lee Ang, Andy Wee An Ta
Publikováno v:
IEEE Transactions on Artificial Intelligence. 4:242-254
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b076c01cdd2412afe22fc203ad18d8b
https://doi.org/10.1109/tai.2022.3153754
https://doi.org/10.1109/tai.2022.3153754
Autor:
Rayan Alsuwaigh, Christine Ang, Jessica Quah, Charlene Jin Yee Liew, Lin Zou, Xuan Han Koh, Venkataraman Narayan, Tian Yi Lu, Clarence Ngoh, Zhiyu Wang, Juan Zhen Koh, Zhiyan Fu, Han Leong Goh
Publikováno v:
BMJ Open Respiratory Research, Vol 8, Iss 1 (2021)
Background Chest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its dis
Externí odkaz:
https://doaj.org/article/ff805f5703d04f36a7ffd92171fd8408
Autor:
Andy Ta, Han Leong Goh, Chuen Seng Tan, Yan Sun, Khin Chaw Yu Aung, Zsin Woon Teoh, Kelvin Bryan Tan, Zheng Yi Lau, John Arputhan Abisheganaden, Kheng Hock Le, Sweet Fun Wong, Wai Leng Chow, Pranav Vinod Kumar, Zi Chao Choong, Cheryl Ng, Christine Ang, Mervin Chan, Daryl Lim, Cheng Ooi Low
Publikováno v:
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
Introduction: Singapore is a developed country with a population of 5.6 million and an acute-centric healthcare system. While the acute hospitals deliver extensive care, patients with multiple care needs face challenges in managing their conditions p
Externí odkaz:
https://doaj.org/article/95303dca049d46479a6aada939b2236a
BackgroundChest radiography may be used together with deep-learning models to prognosticate COVID-19 patient outcomesPurposeT o evaluate the performance of a deep-learning model for the prediction of severe patient outcomes from COVID-19 pneumonia on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4aed7257b26c7c2c31fb58722e5579e
Autor:
Zhiyu Wang, Xuan Han Koh, Lin Zou, Zhiyan Fu, Rayan Alsuwaigh, Venkataraman Narayan, Tian Yi Lu, Christine Ang, Han Leong Goh, Clarence Ngoh, Jessica Quah, Charlene Jin Yee Liew, Juan Zhen Koh
Publikováno v:
BMJ Open Respiratory Research
BMJ Open Respiratory Research, Vol 8, Iss 1 (2021)
BMJ Open Respiratory Research, Vol 8, Iss 1 (2021)
BackgroundChest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de12abc43b937bb4dabdae79c007103a
https://doi.org/10.1136/bmjresp-2021-001045
https://doi.org/10.1136/bmjresp-2021-001045
Autor:
Mervin Chan, Zheng Yi Lau, Cheng Ooi Low, Daryl Lim, Zsin Woon Teoh, Chuen Seng Tan, Andy Ta, John Abisheganaden, Cheryl Ng, Yan Sun, Kelvin Bryan Tan, Han Leong Goh, Zi Chao Choong, Wai Leng Chow, Pranav Vinod Kumar, Christine Ang, Kheng Hock Le, Sweet Fun Wong, Khin Chaw Yu Aung
Publikováno v:
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
International Journal of Integrated Care; Vol 19: Annual Conference Supplement 2019; 228
International Journal of Integrated Care; Vol 19: Annual Conference Supplement 2019; 228
Introduction: Singapore is a developed country with a population of 5.6 million and an acute-centric healthcare system. While the acute hospitals deliver extensive care, patients with multiple care needs face challenges in managing their conditions p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9c2a515b7c763f54e5cc2a73bcec859
https://www.ijic.org/articles/4977
https://www.ijic.org/articles/4977
Autor:
Quah, Jessica, Jin Yee Liew, Charlene, Lin Zou, Xuan Han Koh, Alsuwaigh, Rayan, Narayan, Venkataraman, Tian Yi Lu, Ngoh, Clarence, Zhiyu Wang, Juan Zhen Koh, Ang, Christine, Zhiyan Fu, Han Leong Goh
Publikováno v:
BMJ Open Respiratory Research; 8/9/2021, Vol. 8, p1-11, 11p