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| 245 | 00 | ▼aHealth Information Processing▼h[electronic resource] :▼b9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings /▼cedited by Hua Xu, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Buzhou Tang, Tianyong Hao, Zhengxing Huang. |
| 250 | ▼a1st ed. 2024. | |
| 264 | ▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2024. | |
| 300 | ▼aXV, 432 p. 130 illus., 102 illus. in color.▼bonline resource. | |
| 336 | ▼atext▼btxt▼2rdacontent | |
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| 490 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1993 | |
| 505 | ▼aTIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for misinformation detection from Social Media -- A Bert based relation extraction method with inter-entity constraints for Chinese EHRs -- Automatic Generation of Discharge Summary of EMRs Based on Multi-granularity Information Fusion -- A BART-based Study of Entity-Relationship Extraction for Electronic Medical Records of Cardiovascular Diseases -- Multilevel Asynchronous Time Network for Medication Recommendation -- Biomedical Event Detection of Based on Dependency Analysis and Graph Convolution Network -- Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relation Extraction -- Privacy-preserving Medical Dialogue Generation Based on Federated Learning -- Cross-Lingual Name Entity Recognition from Clinical Text using Mixed Language Query -- PEMRC: A Positive Enhanced Machine Reading Comprehension Method for Few-Shot Named Entity Recognition in Biomedical Domain -- Research on Double-Graphs Knowledge-Enhanced Intelligent Diagnosis -- FgKF: Fine-grained Knowledge Fusion for Radiology Report Generation -- Medical Entity recognition with few-shot based on Chinese character radicals -- Biomedical causal relation extraction incorporated with external knowledge -- Research on structured lung cancer electronic medical records based on BART joint extraction -- Biomedical Named Entity Recognition Based on Multi-task Learning -- Biomedical Relation Extraction via Syntax-Enhanced Contrastive Networks -- Entity Fusion Contrastive Inference Network for Biomedical Document Relation Extraction -- An Unsupervised Clinical Acronym Disambiguation Method based on Pretrained Language Model -- Combining Biaffine Model and Constraints Inference for Chinese Clinical Temporal Relation Extraction -- Automatic Prediction of Multiple Associated Diseases Using A Dual-attention Neural Network Model -- Chapter-level Stepwise Temporal Relation Extraction Based on Event Information for Chinese Clinical Medical Texts -- Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records -- Double Graph Convolution Network with Knowledge Distillation for International Media Portrait Analysis of COVID-19 -- A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition -- Time Series Prediction Models for Assisting the Diagnosis and Treatment of Gouty Arthritis -- Asymptomatic carriers are associated with shorter negative conversion time in children with Omicron infections. | |
| 520 | ▼aThis book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications. | |
| 650 | ▼aMedical informatics. | |
| 650 | ▼aArtificial intelligence. | |
| 650 | ▼aImage processing▼xDigital techniques. | |
| 650 | ▼aComputer vision. | |
| 650 | ▼aApplication software. | |
| 650 | ▼aInformation storage and retrieval systems. | |
| 650 | ▼aHealth Informatics. | |
| 650 | ▼aArtificial Intelligence. | |
| 650 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics. | |
| 650 | ▼aComputer and Information Systems Applications. | |
| 650 | ▼aInformation Storage and Retrieval. | |
| 700 | ▼aXu, Hua.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aChen, Qingcai.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aLin, Hongfei.▼eeditor.▼0(orcid)0000-0003-0872-7688▼1https://orcid.org/0000-0003-0872-7688▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aWu, Fei.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aLiu, Lei.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aTang, Buzhou.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aHao, Tianyong.▼eeditor.▼0(orcid)0000-0002-9792-3949▼1https://orcid.org/0000-0002-9792-3949▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aHuang, Zhengxing.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 710 | ▼aSpringerLink (Online service) | |
| 773 | ▼tSpringer Nature eBook | |
| 776 | ▼iPrinted edition:▼z9789819998630 | |
| 776 | ▼iPrinted edition:▼z9789819998654 | |
| 830 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1993 | |
| 856 | ▼uhttps://doi.org/10.1007/978-981-99-9864-7 | |
| 912 | ▼aZDB-2-SCS | |
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| 950 | ▼aComputer Science (SpringerNature-11645) | |
| 950 | ▼aComputer Science (R0) (SpringerNature-43710) |
Health Information Processing[electronic resource] :9th China Health Information Processing 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
Material type
전자책
Title
Health Information Processing[electronic resource] :9th China Health Information Processing 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
Author's Name
Xu Hua. editor Chen Qingcai. editor Lin Hongfei. editor Wu Fei. editor Liu Lei. editor Tang Buzhou. editor Hao Tianyong. editor Huang Zhengxing. editor
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1st ed. 2024.
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XV, 432 p 130 illus, 102 illus in color online resource.
Keyword
This book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications.
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MMissing Book Request
CClosed Stack Request
IInter-Campus Loan
CPriority Cataloging
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