Showing results (1-10 of 9) with videos related to
Sort By:
Pageof 1
JTCVS Open|April 10, 2026
Machine learning time-to-event algorithms for predicting the duration of ventilation after cardiac surgeryMarcel Lucas Chee, Allen Gu, Roshan Karri, et al.BMC Medical Research Methodology|April 18, 2021
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency departmentNan Liu, Marcel Lucas Chee, Zhi Xiong Koh, et al.International Journal of Environmental Research and Public Health|May 5, 2021
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic ReviewMarcel Lucas Chee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui, et al.International Journal of Environmental Research and Public Health|June 18, 2020
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand PredictionAdrian Xi Lin, Andrew Fu Wah Ho, Kang Hao Cheong, et al.Journal of Biomedical Informatics|April 14, 2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events dataHan Yuan, Feng Xie, Marcus Eng Hock Ong, et al.Iscience|August 23, 2023
Artificial intelligence and machine learning in prehospital emergency care: A scoping reviewMarcel Lucas Chee, Mark Leonard Chee, Haotian Huang, et al.Plos One|August 30, 2021
Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency departmentNan Liu, Marcel Lucas Chee, Mabel Zhi Qi Foo, et al.Scientific Data|October 27, 2022
Benchmarking emergency department prediction models with machine learning and public electronic health recordsFeng Xie, Jun Zhou, Jin Wee Lee, et al.BMC Medical Research Methodology|July 4, 2020
Coronavirus disease 2019 (COVID-19): an evidence map of medical literatureNan Liu, Marcel Lucas Chee, Chenglin Niu, et al.Pageof 1