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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
| 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 |
| Autore | Xu Hua |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (444 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
ChenQingcai
LinHongfei WuFei LiuLei TangBuzhou HaoTianyong HuangZhengxing |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Medical informatics
Artificial intelligence Image processing - Digital techniques Computer vision Application software Information storage and retrieval systems Health Informatics Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Information Storage and Retrieval |
| ISBN | 981-9998-64-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910831500303321 |
Xu Hua
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Health information processing : 8th China conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, revised selected papers / / edited by Buzhou Tang [and seven others]
| Health information processing : 8th China conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, revised selected papers / / edited by Buzhou Tang [and seven others] |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 658.4038 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Information resources management
Medical informatics |
| ISBN | 981-19-9865-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Healthcare Natural Language Processing -- Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease -- Hybrid Granularity-based medical event extraction in Chinese electronic medical records -- Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature -- A Review of Biomedical Event Trigger Word Detection -- BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN -- An Semantic Similarity Matching Method for Chinese Medical Question Text -- A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning -- Healthcare Data Mining and Applications -- Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials -- Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units -- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives -- An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19 -- Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction -- Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model -- Node research on the involvement of China’s carbon tax policy in the context of COVID-19. |
| Record Nr. | UNINA-9910674345703321 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Health information processing : 8th China conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, revised selected papers / / edited by Buzhou Tang [and seven others]
| Health information processing : 8th China conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, revised selected papers / / edited by Buzhou Tang [and seven others] |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 658.4038 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Information resources management
Medical informatics |
| ISBN | 981-19-9865-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Healthcare Natural Language Processing -- Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease -- Hybrid Granularity-based medical event extraction in Chinese electronic medical records -- Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature -- A Review of Biomedical Event Trigger Word Detection -- BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN -- An Semantic Similarity Matching Method for Chinese Medical Question Text -- A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning -- Healthcare Data Mining and Applications -- Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials -- Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units -- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives -- An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19 -- Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction -- Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model -- Node research on the involvement of China’s carbon tax policy in the context of COVID-19. |
| Record Nr. | UNISA-996547966403316 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Health Information Processing. Evaluation Track Papers [[electronic resource] ] : 9th China 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, Jianbo Lei, Zuofeng Li, Hui Zong
| Health Information Processing. Evaluation Track Papers [[electronic resource] ] : 9th China 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, Jianbo Lei, Zuofeng Li, Hui Zong |
| Autore | Xu Hua |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (250 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
ChenQingcai
LinHongfei WuFei LiuLei TangBuzhou HaoTianyong HuangZhengxing LeiJianbo LiZuofeng |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Medical informatics
Artificial intelligence Image processing - Digital techniques Computer vision Information storage and retrieval systems Health Informatics Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval |
| ISBN | 981-9717-17-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910845493403321 |
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Xu Hua
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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