[1] |
GU Hongqiu, YANG Kaixuan, JIANG Yingyu, DU Kejin, RAO Zhenzhen, YANG Xin, WANG Chunjuan, XIONG Yunyun, JING Jing, LI Zixiao.
Progress and Prospects of Clinical Prediction Models for Risk of Stroke Recurrence in Ischemic Stroke
[J]. Chinese Journal of Stroke, 2023, 18(07): 731-739.
|
[2] |
WANG Haoyue, WANG Junfeng.
Common Misconception in Clinical Prediction Model Research
[J]. Chinese Journal of Stroke, 2023, 18(07): 758-769.
|
[3] |
CHEN Hui, CHEN Siding, ZHU Zhikai, YU Weiran, JIANG Yong, WANG Yongjun.
Study on Predictive Model of Cerebral Hemorrhage during Hospitalization in Patients with Acute Ischemic Stroke Treated with rt-PA Intravenous Thrombolysis
[J]. Chinese Journal of Stroke, 2023, 18(05): 547-555.
|
[4] |
ZHANG Lan, SHEN Xiaofang, JIN Jin, XU Ji, ZHANG Jing.
Construction and Verification of Short-term Malnutrition Prediction Model for Patients with Acute Ischemic Stroke without Basal Metabolic Diseases
[J]. Chinese Journal of Stroke, 2023, 18(04): 428-433.
|
[5] |
YANG Jialei, CHEN Siding, MENG Xia, JIANG Yong, WANG Yongjun.
Prediction of Clinical Outcome of Acute Ischemic Stroke Patients with Hyperglycemia Based on Machine Learning Model
[J]. Chinese Journal of Stroke, 2022, 17(07): 730-736.
|
[6] |
MA Jiali, WANG Yuqing, WANG Kaiwen, DONG Jingjing, LI Yongqiu.
Clinical Prediction Model and Influencing Factors of Total Cerebral Small Vessel Disease Burden
[J]. Chinese Journal of Stroke, 2022, 17(05): 523-528.
|
[7] |
CHEN Siding, Yu Weiran, HUANG Xinying, LIU Huan, JIANG Yong, WANG Yongjun.
1-Year Functional Outcome Prediction of New-Onset Acute Ischemic Stroke Patients Based on Machine Learning
[J]. Chinese Journal of Stroke, 2022, 17(03): 265-271.
|
[8] |
CHEN Si-Ding, GU Hong-Qiu, HUANG Xin-Ying, LIU Huan, JIANG Yong, WANG Yong-Jun.
Machine Learning Models for Predicting In-hospital Death in Patients with Acute New Ischemic Stroke Based onUnbalanced Data
[J]. Chinese Journal of Stroke, 2021, 16(08): 779-786.
|
[9] |
GU Hong-Qiu, WANG Chun-Juan, LI Zi-Xiao, WANG Yi-Long,WANG Yong-Jun, JIANG Yong.
Comparison of Prediction Models for In-hospital Stroke Recurrence in Patients with Ischemic Stroke Based on
Logistic Regression and XGBoost Methods
[J]. Chinese Journal of Stroke, 2020, 15(06): 587-594.
|
[10] |
CHEN Si-Ding, LIU Huan,HUANG Xin-Ying, LI HAO-Lin, GU Hong-Qiu, JIANG Yong.
Machine Learning-based Model for Prediction of 90-day Death after Ischemic Stroke
[J]. Chinese Journal of Stroke, 2020, 15(06): 595-599.
|
[11] |
ZHENG Guo-Jiang, MAO Xiang-Ru, DING Gang-Yu,WANG Xing, XU Jian-Hua, JIN Ling-Jing, NIE Zhi-Yu.
Predictive Value of ASPECTS, DRAGON and SEDAN Scores for Hemorrhagic Transformation after Intravenous
Thrombolysis in Patients with Acute Ischemic Stroke in China
[J]. Chinese Journal of Stroke, 2019, 14(06): 533-540.
|
[12] |
HAN Chong, CHEN Wei-Qi, JING Jing, WANG Yi-Long, WANG Yong-Jun.
Definition and Prediction Models for High-Risk Non-Disabling Ischemic Cerebrovascular Events
[J]. Chinese Journal of Stroke, 2018, 13(05): 477-482.
|
[13] |
LI Jie-Jie, WANG Yi-Long, ZHAO Xing-Quan, ZHANG Ning, WANG Chun-Xue, WANG Yong-Jun.
Application of Precision Medicine Literature Review Presentation in Teaching for Professional
Postgraduate Students Majoring in Cerebral Vascular Disease
[J]. Chinese Journal of Stroke, 2017, 12(08): 765-767.
|
[14] |
ZHANG Xin-Miao, WANG Chun-Juan, LIAO Xiao-Ling, WANG Yi-Long, LIU Li-Ping, WANG Chun-Xue,ZHAO Xing-Quan, WANG Yong-Jun..
Review of Prognosis in Acute Stroke Patients Treated with Thrombolysis
[J]. Chinese Journal of Stroke, 2014, 9(12): 1041-1047.
|