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Health Information Processing 9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings

Aus der Reihe Communications in Computer and Information Science
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85,99 € UVP 96,29 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2024

Abbildungen

XV, 432 p. 130 illus., 102 illus. in color.

Herausgeber

Hua Xu + weitere

Verlag

Springer Singapore

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-981-9998-63-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2024

Abbildungen

XV, 432 p. 130 illus., 102 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-981-9998-63-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Health Information Processing
  • Produktbild: Health Information Processing
  • 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.