Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review
10.3390/ijerph18094749
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| Format: | Review |
| Language: | English |
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2022
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/228743 |
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sg-nus-scholar.10635-2287432024-11-13T16:51:19Z Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review Chee, Marcel Lucas Ong, Marcus Eng Hock Siddiqui, Fahad Javaid Zhang, Zhongheng Lim, Shir Lynn Ho, Andrew Fu Wah Liu, Nan MEDICINE DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DUKE-NUS MEDICAL SCHOOL Dr Shir Lynn Lim Science & Technology Life Sciences & Biomedicine Environmental Sciences Public, Environmental & Occupational Health Environmental Sciences & Ecology artificial intelligence machine learning COVID-19 emergency department intensive care critical care MECHANICALLY VENTILATED PATIENTS MULTIVARIABLE PREDICTION MODEL INDIVIDUAL PROGNOSIS DIAGNOSIS TRIPOD VALIDATION EXPLANATION CALIBRATION SIMULATION EVENTS RISK 10.3390/ijerph18094749 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18 9 2022-07-18T03:21:47Z 2022-07-18T03:21:47Z 2021-05-01 2022-07-15T02:03:44Z Review Chee, Marcel Lucas, Ong, Marcus Eng Hock, Siddiqui, Fahad Javaid, Zhang, Zhongheng, Lim, Shir Lynn, Ho, Andrew Fu Wah, Liu, Nan (2021-05-01). Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18 (9). ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph18094749 16617827 16604601 https://scholarbank.nus.edu.sg/handle/10635/228743 en MDPI Elements |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
Science & Technology Life Sciences & Biomedicine Environmental Sciences Public, Environmental & Occupational Health Environmental Sciences & Ecology artificial intelligence machine learning COVID-19 emergency department intensive care critical care MECHANICALLY VENTILATED PATIENTS MULTIVARIABLE PREDICTION MODEL INDIVIDUAL PROGNOSIS DIAGNOSIS TRIPOD VALIDATION EXPLANATION CALIBRATION SIMULATION EVENTS RISK |
| spellingShingle |
Science & Technology Life Sciences & Biomedicine Environmental Sciences Public, Environmental & Occupational Health Environmental Sciences & Ecology artificial intelligence machine learning COVID-19 emergency department intensive care critical care MECHANICALLY VENTILATED PATIENTS MULTIVARIABLE PREDICTION MODEL INDIVIDUAL PROGNOSIS DIAGNOSIS TRIPOD VALIDATION EXPLANATION CALIBRATION SIMULATION EVENTS RISK Chee, Marcel Lucas Ong, Marcus Eng Hock Siddiqui, Fahad Javaid Zhang, Zhongheng Lim, Shir Lynn Ho, Andrew Fu Wah Liu, Nan Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| description |
10.3390/ijerph18094749 |
| author2 |
MEDICINE |
| author_facet |
MEDICINE Chee, Marcel Lucas Ong, Marcus Eng Hock Siddiqui, Fahad Javaid Zhang, Zhongheng Lim, Shir Lynn Ho, Andrew Fu Wah Liu, Nan |
| format |
Review |
| author |
Chee, Marcel Lucas Ong, Marcus Eng Hock Siddiqui, Fahad Javaid Zhang, Zhongheng Lim, Shir Lynn Ho, Andrew Fu Wah Liu, Nan |
| author_sort |
Chee, Marcel Lucas |
| title |
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| title_short |
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| title_full |
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| title_fullStr |
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| title_full_unstemmed |
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review |
| title_sort |
artificial intelligence applications for covid-19 in intensive care and emergency settings: a systematic review |
| publisher |
MDPI |
| publishDate |
2022 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/228743 |
| _version_ |
1821208980031012864 |