Siyang Liu Lab | Sun Yat-sen University
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Artificial intelligence-powered delta-NIHSS-based model for predicting recurrence, disability and mortality after acute ischaemic strokes (DISCO): a modelling study
Shiyao Cheng
,
Yuandan Wei
,
Huaguang Zheng
,
Qingrong Zhang
,
Xuanyan Yang
,
Zhen Lu
,
Zehua Huang
,
Zijun Wan
,
Yanfeng Shi
,
Jie Zhang
,
Jay Chol Choi
,
Chul-Hoo Kang
,
Hong Jun Kim
,
Joong-Goo Kim
,
Hee-Joon Bae
,
Juneyoung Lee
,
Jeong-Yoon Lee
,
Hannah Jung
,
Cang Guo
,
Xiaoling Liao
,
Jianping Wu
,
Xia Meng
,
Zixiao Li
,
Stéphanie Debette
,
Hao Li
,
Yongjun Wang
,
Si Cheng
,
Siyang Liu
Dec 9, 2025
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Source Document
DOI
Type
Journal article
Publication
eClinicalMedicine
Shiyao Cheng
Master in Public Health
Yuandan Wei
MPH
Xuanyan Yang
PhD Student in Epidemiology and Health Statistics
Zhen Lu
PhD in Epidemiology and Health Statistics
Zehua Huang
Master in Public Health
Zijun Wan
PhD student in Epidemiology and Health Statistics
Siyang Liu
PhD in Bioinformatics, Associate Professor in Biomedical Informatics
Principal Investigator of MONN (
https://monn.pheweb.com/
)
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Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies
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Genetic architecture and risk prediction of gestational diabetes mellitus in Chinese pregnancies
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