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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. Evaluation Track Papers [[electronic resource] ] : 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers / / edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong
| Health Information Processing. Evaluation Track Papers [[electronic resource] ] : 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers / / edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong |
| Autore | Tang Buzhou |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
ChenQingcai
LinHongfei WuFei LiuLei HaoTianyong WangYanshan WangHaitian LeiJianbo LiZuofeng |
| 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 | 981-9948-26-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Text 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. |
| Record Nr. | UNISA-996546828703316 |
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Tang Buzhou
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Health Information Processing. Evaluation Track Papers : 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers / / edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong
| Health Information Processing. Evaluation Track Papers : 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers / / edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong |
| Autore | Tang Buzhou |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
ChenQingcai
LinHongfei WuFei LiuLei HaoTianyong WangYanshan WangHaitian LeiJianbo LiZuofeng |
| 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 | 981-9948-26-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Text 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. |
| Record Nr. | UNINA-9910735794403321 |
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Tang Buzhou
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Xu Hua
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||