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[null,null,"Autore",null,"Xu Hua"]
[null,null,"Titolo",null,"Health Information Processing. Evaluation Track Papers : 9th China Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings / / edited by Hua Xu, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Buzhou Tang, Tianyong Hao, Zhengxing Huang, Jianbo Lei, Zuofeng Li, Hui Zong"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819717170"]
[{"$nulls":4},"9819717175"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (250 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2080"]
[null,null,"Disciplina",null,"610.285"]
[null,null,"Soggetti",null,"Medical informatics"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Health Informatics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Information Storage and Retrieval"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the evaluation track of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 15 algorithms papers and 6 overview papers included in this book were carefully reviewed and selected from a total of 66 submissions to the conference. They were organized in topical sections as follows: CHIP-PromptCBLUE Medical Large Model Evaluation; Chinese Medical Text Few-shot Named Entity Recognition; Drug Paper Document Recognition and Entity Relation Extraction; CHIP-YIER Medical Large Model Evaluation; Medical Literature PICOS Identification; Chinese Diabetes Question Classification;."]