Health Information Processing. Evaluation Track Papers
9th China Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings
Seiten
2024
Springer Nature (Verlag)
978-981-97-1716-3 (ISBN)
Springer Nature (Verlag)
978-981-97-1716-3 (ISBN)
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;
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 | 20.03.2024 |
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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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