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Health Information Processing. Evaluation Track Papers [electronic resource] : 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.

Contributor(s): Material type:

TextSeries: Communications in Computer and Information Science ; 2080Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XV, 244 p. 52 illus., 44 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819717170

Subject(s):

-- Digital techniques

Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

R858-859.7

Online resources:

Resursa online

In: Springer Nature eBookSummary: 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;.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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;.

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