Health Information Processing. Evaluation Track Papers -

Health Information Processing. Evaluation Track Papers

9th China Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings
Buch | Softcover
244 Seiten
2024
Springer Nature (Verlag)
978-981-97-1716-3 (ISBN)
74,89 inkl. MwSt
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. They were organized in topical sections as follows: CHIP-PromptCBLUE Medical Large Model Evaluation; Chinese Medical Text Few-shot Named Entity Recognition;
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;
Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo 44 Illustrations, color; 8 Illustrations, black and white; XV, 244 p. 52 illus., 44 illus. in color.
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Bioinformatik
Medizin / Pharmazie
Technik Maschinenbau
Technik Medizintechnik
Schlagworte diabetes question classification • drug paper document recognition and entity relation extraction • healthcare data mining and applications • healthcare information extraction • healthcare natural language processing • medical large model evaluation • medical literature PICOS identification • medical text few-shot named entity recognition • Medical Text mining or Data mining • Neural networks or Machine learning algorithms
ISBN-10 981-97-1716-7 / 9819717167
ISBN-13 978-981-97-1716-3 / 9789819717163
Zustand Neuware
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