J
Jie Liu
Researcher at Huazhong University of Science and Technology
Publications - 17
Citations - 263
Jie Liu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Retrospective cohort study & Internal medicine. The author has an hindex of 5, co-authored 15 publications receiving 160 citations.
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Journal ArticleDOI
Novel Coronavirus Disease 2019 (COVID-19) Pneumonia Progression Course in 17 Discharged Patients: Comparison of Clinical and Thin-Section Computed Tomography Features During Recovery.
Xiaoyu Han,Yukun Cao,Nanchuan Jiang,Yan Chen,Osamah Alwalid,Xin Zhang,Jin Gu,Meng Dai,Jie Liu,Wanyue Zhu,Chuansheng Zheng,Heshui Shi +11 more
TL;DR: The progression course of CT pattern was later than the clinical parameters within the first two weeks since admission; however, there was a synchronized improvement in both clinical and radiologic features in the 4th week.
Posted ContentDOI
Epidemiological, Clinical Characteristics and Outcome of Medical Staff Infected with COVID-19 in Wuhan, China: A Retrospective Case Series Analysis
Jie Liu,Liu Ouyang,Pi Guo,Hai sheng Wu,Peng Fu,Yu liang Chen,Dan Yang,Xiao yu Han,Yu kun Cao,Osamah Alwalid,Juan Tao,Shu yi Peng,He shui Shi,Fan Yang,Chuan sheng Zheng +14 more
TL;DR: In this study, medical staff infected with COVID-19 have relatively milder symptoms and favorable clinical course, which may be partly due to their medical expertise, younger age and less underlying diseases.
Journal ArticleDOI
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.
Ming Xu,Liu Ouyang,Lei Han,Kai Sun,Tingting Yu,Qian Li,Hua Tian,Lida Safarnejad,Hengdong Zhang,Yue Gao,Forrest Sheng Bao,Yuanfang Chen,Patrick Robinson,Yaorong Ge,Baoli Zhu,Jie Liu,Shi Chen +16 more
TL;DR: Wang et al. as discussed by the authors proposed a hybrid deep learning-machine learning framework to detect patients with COVID-19 using low-dimensional clinical and lab testing data, as well as high-dimensional computed tomography imaging data.
Journal ArticleDOI
An Interpretable Machine Learning Framework for Accurate Severe vs Non-severe COVID-19 Clinical Type Classification
Yuanfang Chen,Liu Ouyang,Sheng Bao,Qian Li,Lei Han,Hengdong Zhang,Baoli Zhu,Ming Xu,Jie Liu,Yaorong Ge,Shi Chen +10 more
TL;DR: It is suggested that symptoms and comorbidities can be used as an initial screening tool for triaging, while biochemistry and features combined are applied when accuracy is the priority.
Journal ArticleDOI
A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation.
Yuanfang Chen,Liu Ouyang,Forrest Sheng Bao,Qian Li,Lei Han,Lei Han,Hengdong Zhang,Hengdong Zhang,Baoli Zhu,Baoli Zhu,Baoli Zhu,Yaorong Ge,Patrick Robinson,Ming Xu,Ming Xu,Ming Xu,Jie Liu,Shi Chen +17 more
TL;DR: In this paper, a machine learning approach was used to understand COVID-19 more comprehensively, accurately differentiate severe and nonsevere clinical types based on multiple medical features, and provide reliable predictions of the clinical type of the disease.