Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China

Qingjia Zeng   ^{1, 2 *} ;   Jiachen Cui   ^{3 *} ;   Xinyu Fan   ⁴ ;   Dawei Li   ⁵ ;   Xiao Yang   ⁵ ;   Menghan Song   ⁶ ;   Shuangyang Niu   ⁶ ;   Yuhuan Wang   ⁷ ;   Yufeng Wang   ⁸ ;   Fubiao Huang   ^{9, 10} ;   Yonghui Wang   ^{6 *} ;   Qiang Wu   ^{3, 11 *} ;   Hongpu Hu   ^{1 *}

¹ Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, Beijing, China

² Wolfson Centre for Prevention of Stroke and Dementia, Department of Clinical Neurosciences, University of Oxford, Oxford, England, United Kingdom

³ School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China

⁴ Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China

⁵ Shengli Oilfield Central Hospital, Dongying, Shandong, China

⁶ Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China

⁷ Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China

⁸ People’s Hospital of Rehabilitation Weifang City, Weifang, Shandong, China

⁹ Department of Occupational Therapy, China Rehabilitation Research Center, Beijing, Beijing, China

¹⁰ Faculty of Rehabilitation, Capital Medical University, Beijing, Beijing, China

¹¹ Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China

*these authors contributed equally