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13 results on '"Tang, Tommy Hing-Cheung"'

3. Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques

Author

Lodato, Ivano, Iyer, Aditya Varna, To, Isaac Zachary, Lai, Zhong-Yuan, Chan, Helen Shuk-Ying, Leung, Suk Wai Winnie, Tang, Tommy Hing-Cheung, Cheung, Victor Kai-Lam, Wu, Tak-Chiu, Ng, George Wing-Yiu, Lodato, Ivano, Iyer, Aditya Varna, To, Isaac Zachary, Lai, Zhong-Yuan, Chan, Helen Shuk-Ying, Leung, Suk Wai Winnie, Tang, Tommy Hing-Cheung, Cheung, Victor Kai-Lam, Wu, Tak-Chiu, and Ng, George Wing-Yiu

Abstract

We conducted a statistical study and developed a machine learning model to triage COVID-19 patients affected during the height of the COVID-19 pandemic in Hong Kong based on their medical records and test results (features) collected during their hospitalization. The correlation between the values of these features is studied against discharge status and disease severity as a preliminary step to identify those features with a more pronounced effect on the patient outcome. Once identified, they constitute the inputs of four machine learning models, Decision Tree, Random Forest, Gradient and RUSBoosting, which predict both the Mortality and Severity associated with the disease. We test the accuracy of the models when the number of input features is varied, demonstrating their stability; i.e., the models are already highly predictive when run over a core set of (6) features. We show that Random Forest and Gradient Boosting classifiers are highly accurate in predicting patients’ Mortality (average accuracy ∼99%) as well as categorize patients (average accuracy ∼91%) into four distinct risk classes (Severity of COVID-19 infection). Our methodical and broad approach combines statistical insights with various machine learning models, which paves the way forward in the AI-assisted triage and prognosis of COVID-19 cases, which is potentially generalizable to other seasonal flus. © 2022 by the authors.

Published
2022

6. Improved Molecular Diagnosis of COVID-19 by the Novel, Highly Sensitive and Specific COVID-19-RdRp/Hel Real-Time Reverse Transcription-PCR Assay Validated In Vitro and with Clinical Specimens

Author

Chan, Jasper Fuk-Woo, primary, Yip, Cyril Chik-Yan, additional, To, Kelvin Kai-Wang, additional, Tang, Tommy Hing-Cheung, additional, Wong, Sally Cheuk-Ying, additional, Leung, Kit-Hang, additional, Fung, Agnes Yim-Fong, additional, Ng, Anthony Chin-Ki, additional, Zou, Zijiao, additional, Tsoi, Hoi-Wah, additional, Choi, Garnet Kwan-Yue, additional, Tam, Anthony Raymond, additional, Cheng, Vincent Chi-Chung, additional, Chan, Kwok-Hung, additional, Tsang, Owen Tak-Yin, additional, and Yuen, Kwok-Yung, additional

Published
2020
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7. Surgical hand-washing

Author

Lung, David Christopher, Man, Jannifer Hiu-Kwan, Tang, Tommy Hing-Cheung, Wong, Lydia Ka-Yee, and Leung, Gilberto Ka-Kit

Published
2004

11. Prenatal sonography of placental abscess and prolonged antibiotic treatment for <italic>Serratia marcescens</italic> bacteremia.

Author

Mak, Annisa Shui Lam, Tang, Tommy Hing Cheung, Lam, Kwok Wai, Kwok, Angie Lok Ming, Cheuk, Wah, Wu, Tak Chiu, and Leung, Kwok Yin

Subjects
*CHORIOAMNIONITIS, *PRENATAL diagnosis, *BACTEREMIA treatment, *ULTRASONIC imaging, *AMNIOTIC liquid, *C-reactive protein
Abstract

Key Clinical Message: Termination of pregnancy is indicated for Serratia marcescens bacteremia, a major cause of mortality. Our present case was highly challenging because the patient wished to continue with her pregnancy, and the ultrasonography showed features of a placental abscess. Although the outcomes were good after prolonged antibiotic treatment, this was an exceptional case. [ABSTRACT FROM AUTHOR]

Published
2018
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12. Improved Molecular Diagnosis of COVID-19 by the Novel, Highly Sensitive and Specific COVID-19-RdRp/Hel Real-Time Reverse Transcription-PCR Assay Validated In Vitroand with Clinical Specimens

Author

Chan, Jasper Fuk-Woo, Yip, Cyril Chik-Yan, To, Kelvin Kai-Wang, Tang, Tommy Hing-Cheung, Wong, Sally Cheuk-Ying, Leung, Kit-Hang, Fung, Agnes Yim-Fong, Ng, Anthony Chin-Ki, Zou, Zijiao, Tsoi, Hoi-Wah, Choi, Garnet Kwan-Yue, Tam, Anthony Raymond, Cheng, Vincent Chi-Chung, Chan, Kwok-Hung, Tsang, Owen Tak-Yin, and Yuen, Kwok-Yung

Abstract

On 31 December 2019, the World Health Organization was informed of a cluster of cases of pneumonia of unknown etiology in Wuhan, China. Subsequent investigations identified a novel coronavirus, now named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), from the affected patients. Highly sensitive and specific laboratory diagnostics are important for controlling the rapidly evolving SARS-CoV-2-associated coronavirus disease 2019 (COVID-19) epidemic. In this study, we developed and compared the performance of three novel real-time reverse transcription-PCR (RT-PCR) assays targeting the RNA-dependent RNA polymerase (RdRp)/helicase (Hel), spike (S), and nucleocapsid (N) genes of SARS-CoV-2 with that of the reported RdRp-P2 assay, which is used in >30 European laboratories.

Published
2020
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