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ORCIDStephen Wai Hang Kwok
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2020 – today
- 2024
[j4]Stephen Wai Hang Kwok
, Yuanpeng Zhang, Guanjin Wang:
Artificial intelligence in perinatal mental health research: A scoping review. Comput. Biol. Medicine 177: 108685 (2024)- 2023
- [j3]Kok Kiang Long, Stephen Wai Hang Kwok, Jayne Kotz, Guanjin Wang:
A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media. Comput. Biol. Medicine 164: 107232 (2023) - [j2]Guanjin Wang, Stephen Wai Hang Kwok, Daniel Axford, Muhammed Yousufuddin, Ferdous Sohel:
An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling. Knowl. Based Syst. 278: 110831 (2023) - [j1]Guanjin Wang, Stephen Wai Hang Kwok, Muhammed Yousufuddin, Ferdous Sohel:
A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients. IEEE J. Biomed. Health Informatics 27(8): 3794-3805 (2023) - [c3]Stephen Wai Hang Kwok, Jayne Kotz, Tracy Reibel, Guanjin Wang, Roz Walker, Rhonda Marriott:
Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers. EMBC 2023: 1-4 - [c2]Stephen Wai Hang Kwok, Christine Sipka, Aled Matthews, Carol Pontes Lara, Guanjin Wang, Kup-Sze Choi:
Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models. EMBC 2023: 1-4 - 2021
- [c1]Guanjin Wang, Stephen Wai Hang Kwok:
Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination. BHI 2021: 1-4
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