Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model
Zhanzhong Gu(University of Technology Sydney), Yiguang Lin(Sun Yat-sen University), Xiguang Yang(University of Technology Sydney), Ping Yu(Beijing Tian Tan Hospital), Penghui Hu(Southwest University), Wenjing Jia(University of Technology Sydney), Hongjie Chen(Sun Yat-sen University), Xiangjian He(University of Nottingham Ningbo China), Shiyan Chen(Sun Yat-sen University), Gang Peng
Cited by 19
Related Papers
Serine metabolism orchestrates macrophage polarization by regulating the IGF1–p38 axis
|Cellular and Molecular Immunology|2022|158
Serine metabolism antagonizes antiviral innate immunity by preventing ATP6V0d2-mediated YAP lysosomal degradation
|Cell Metabolism|2021|150
Elevated Lactate Dehydrogenase (LDH) level as an independent risk factor for the severity and mortality of COVID-19
|Aging|2020|145
Effect of calcium sulphoaluminate cement on mechanical strength and waterproof properties of beta-hemihydrate phosphogypsum
|Construction and Building Materials|2020|136
Bio-inspired iron-catalyzed oxidation of alkylarenes enables late-stage oxidation of complex methylarenes to arylaldehydes
|Nature Communications|2019|111