9789819998630 - health information processing: 9th china health information processing conference, chip 2023, hangzhou, china, october 27–29, 2023, proceedings: 1993 (16 risultati)
Health Information Processing : 9th China Health Information Processing Conference, Chip 2023, Hangzhou, China, October 27-29, 2023, Proceedings
Xu, Hua (EDT); Chen, Qingcai (EDT); Lin, Hongfei (EDT); Wu, Fei (EDT); Liu, Lei (EDT)
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Health Information Processing : 9th China Health Information Processing Conference, Chip 2023, Hangzhou, China, October 27-29, 2023, Proceedings
Xu, Hua (EDT); Chen, Qingcai (EDT); Lin, Hongfei (EDT); Wu, Fei (EDT); Liu, Lei (EDT)
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Health Information Processing : 9th China Health Information Processing Conference, Chip 2023, Hangzhou, China, October 27-29, 2023, Proceedings
Xu, Hua (EDT); Chen, Qingcai (EDT); Lin, Hongfei (EDT); Wu, Fei (EDT); Liu, Lei (EDT)
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Health Information Processing : 9th China Health Information Processing Conference, Chip 2023, Hangzhou, China, October 27-29, 2023, Proceedings
Xu, Hua (EDT); Chen, Qingcai (EDT); Lin, Hongfei (EDT); Wu, Fei (EDT); Liu, Lei (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
Health Information Processing: 9th China Health Information Processing Conference, Chip 2023, Hangzhou, China, October 27-29, 2023, Proceedings
Xu, Hua (Editor)/ Chen, Qingcai (Editor)/ Lin, Hongfei (Editor)/ Wu, Fei (Editor)/ Liu, Lei (Editor)
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Paperback. Condizione: Brand New. 447 pages. 9.25x6.10x0.91 inches. In Stock.
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Taschenbuch. Condizione: Neu. Health Information Processing | 9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27-29, 2023, Proceedings | Hua Xu (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9789819998630 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartens…tr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 review…ed 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. 448 pp. Englisch.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -TIG-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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.
