Stroke risk-assessment model
This method can predict stroke risk and prognosis and classify strokes by subtype by integrating machine learning and deep learning algorithms with clinical, image and text data.
Team members
Mr Liu Jundong* (PhD student, Dept. of Biomedical Sciences, CityU)
Mr Huang Ruixuan (PhD student, Dept. of Electrical Engineering, CityU)
Mr Kenneth Leung Kwok Kei (UCLA & USC)
Dr Peter Woo Yat-ming (The University of Hong Kong, and The Chinese University of Hong Kong)
Mr Wan Tsz-kin (PhD student, Dept. of Electrical Engineering, CityU)
* Person-in-charge
(Info based on the team's application form)
Mr Huang Ruixuan (PhD student, Dept. of Electrical Engineering, CityU)
Mr Kenneth Leung Kwok Kei (UCLA & USC)
Dr Peter Woo Yat-ming (The University of Hong Kong, and The Chinese University of Hong Kong)
Mr Wan Tsz-kin (PhD student, Dept. of Electrical Engineering, CityU)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2021)
- PSTS for COVID-19, Innovation and Technology Fund (2020)