LEADER 05792nam 22007695 450 001 9910996488603321 005 20250413135151.0 010 $a981-9642-98-1 024 7 $a10.1007/978-981-96-4298-4 035 $a(CKB)38428968700041 035 $a(DE-He213)978-981-96-4298-4 035 $a(MiAaPQ)EBC32007786 035 $a(Au-PeEL)EBL32007786 035 $a(OCoLC)1523372095 035 $a(EXLCZ)9938428968700041 100 $a20250413d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHealth Information Processing. Evaluation Track Papers $e10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15?17, 2024, Proceedings /$fedited by Yanchun Zhang, Qingcai Chen, Hongfei Lin, Lei Liu, Xiangwen Liao, Buzhou Tang, Tianyong Hao, Zhengxing Huang, Jianbo Lei, Zuofeng Li, Hui Zong 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XVII, 228 p. 54 illus., 43 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2458 311 08$a981-9642-97-3 327 $a -- Syndrome Differentiation Thought in Traditional Chinese Medicine. -- Overview of the evaluation task for syndrome differentiation thought in traditional Chinese medicine in CHIP2024. -- Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG. -- A TCM Syndrome Differentiation Thinking Method Based on Chain of Thought and Knowledge Retrieval Augmentation. -- Fine-Tuning Large Language Models for Syndrome Differentiation in Traditional Chinese Medicine. -- Iterative Retrieval Augmentation for Syndrome Differentiation via Large Language Models. -- Lymphoma Information Extraction and Automatic Coding. -- Benchmark for Lymphoma Information Extraction and Automated Coding. -- Overview of the Lymphoma Information Extraction and Automatic Coding Evaluation Task in CHIP 2024. -- Automatic ICD Code Generation for Lymphoma Using Large Language Models. -- Lymphoma Tumor Coding and Information Extraction: A Comparative Analysis of Large Language Model-based Methods. -- Leveraging Chain of Thought for Automated Medical Coding of Lymphoma Cases. -- Harnessing Retrieval-Augmented LLMs for Training-Free Tumor Coding Classification. -- Hierarchical Information Extraction and Classification of Lymphoma Tumor Codes Based On LLM. -- Typical Case Diagnosis Consistenc. -- Benchmark of the Typical Case Diagnosis Consistency Evaluation Task in CHIP2024. -- Overview of the Typical Case Diagnosis Consistency Evaluation Task in CHIP2024. -- The Diagnosis of Typical Medical Cases through Optimized Fine-Tuning of Large Language Models. -- Utilizing Large Language Models Enhanced by Chain-of-Thought for the Diagnosis of Typical Medical Cases. -- Assessing Diagnostic Consistency in Clinical Cases: A Fine-Tuned LLM Voting and GPT Error Correction Framework. -- Typical Medical Case Diagnosis with Voting and Answer Discrimination using Fine-tuned LLM. -- Reliable Typical Case Diagnosis via Optimized Retrieval-Augmented Generation Techniques. 330 $aThis book constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, November 15?17, 2024. The CHIP 2024 Evaluation Track proceedings include 19 full papers which were carefully reviewed and grouped into these topical sections: syndrome differentiation thought in Traditional Chinese Medicine; lymphoma information extraction and automatic coding; and typical case diagnosis consistency. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2458 606 $aMedical informatics 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aInformation storage and retrieval systems 606 $aHealth Informatics 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aInformation Storage and Retrieval 615 0$aMedical informatics. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aInformation storage and retrieval systems. 615 14$aHealth Informatics. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aInformation Storage and Retrieval. 676 $a610.285 702 $aZhang$b Yanchun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Qingcai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLin$b Hongfei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Lei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiao$b Xiangwen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Buzhou$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHao$b Tianyong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHuang$b Zhengxing$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLei$b Jianbo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Zuofeng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZong$b Hui$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910996488603321 996 $aHealth Information Processing. Evaluation Track Papers$94374457 997 $aUNINA