LEADER 00924oam 2200313zu 450 001 996202258403316 005 20210807000234.0 035 $a(CKB)1000000000021924 035 $a(SSID)ssj0000558486 035 $a(PQKBManifestationID)12234568 035 $a(PQKBTitleCode)TC0000558486 035 $a(PQKBWorkID)10566093 035 $a(PQKB)11413928 035 $a(EXLCZ)991000000000021924 100 $a20160829d2004 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aLocal Computer Networks: Proceedings 210 31$a[Place of publication not identified]$cIEEE Computer Society Press$d2004 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-7695-2260-2 700 $aJha$b Sanjay$0856343 801 0$bPQKB 906 $aPROCEEDING 912 $a996202258403316 996 $aLocal Computer Networks: Proceedings$92392952 997 $aUNISA LEADER 05556nam 22008295 450 001 9910735794403321 005 20250724123234.0 010 $a9789819948260 010 $a9819948266 024 7 $a10.1007/978-981-99-4826-0 035 $a(MiAaPQ)EBC30661734 035 $a(Au-PeEL)EBL30661734 035 $a(DE-He213)978-981-99-4826-0 035 $a(PPN)27225147X 035 $a(CKB)27757821600041 035 $a(OCoLC)1391342129 035 $a(EXLCZ)9927757821600041 100 $a20230721d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHealth Information Processing. Evaluation Track Papers $e8th China Conference, CHIP 2022, Hangzhou, China, October 21?23, 2022, Revised Selected Papers /$fedited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (235 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1773 311 08$aPrint version: Tang, Buzhou Health Information Processing. Evaluation Track Papers Singapore : Springer,c2023 9789819948253 327 $aText Mining for Gene-Disease Association Semantic -- Text Mining Task for ?Gene-Disease? Association Semantics in CHIP 2022 -- Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery -- A Knowledge-based Data Augmentation Framework for Few-Shot Biomedical Information Extraction -- Biomedical Named Entity Recognition Under Low-Resource Situation -- Medical Causal Entity and Relation Extraction -- CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extraction -- Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task -- A Multi-span-based Conditional Information Extraction Model -- Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Model -- Medical Decision Tree Extraction from Unstructured Text -- Extracting Decision Trees from Medical Texts: an Overview of the Text2DT Track in CHIP2022 -- Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Method -- An automatic construction method of diagnosis and treatment decision tree based on UIE and logical rules -- Research on Decision Tree Method of Medical Text Based on Information Extraction -- OCR of Electronic Medical Document -- Information extraction of Medical Materials: an Overview of the track of Medical Material MedOCR -- TripleMIE: Multi-Modal and Multi architecture Information Extraction -- Multimodal end-to-end visual document parsing -- Improving Medical OCR Information Extraction with Integrated Bert and LayoutXLM Models -- Clinical Diagnostic Coding -- Overview of CHIP 2022 Shared Task 5: Clinical Diagnostic Coding -- Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling -- Rule-enhanced Disease Coding Method based on Roberta -- Diagnosis Coding Rule-Matching Based on Characteristic Words and Dictionaries. 330 $aThis book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21?23, 2022. The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1773 606 $aMedical informatics 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aHealth Informatics 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 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$aApplication software. 615 0$aInformation storage and retrieval systems. 615 14$aHealth Informatics. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 676 $a610.285 700 $aTang$b Buzhou$01379252 701 $aChen$b Qingcai$01379253 701 $aLin$b Hongfei$01379254 701 $aWu$b Fei$01379255 701 $aLiu$b Lei$0915338 701 $aHao$b Tianyong$01338145 701 $aWang$b Yanshan$01379256 701 $aWang$b Haitian$01379257 701 $aLei$b Jianbo$01379258 701 $aLi$b Zuofeng$01379259 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910735794403321 996 $aHealth Information Processing. Evaluation Track Papers$93418712 997 $aUNINA