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Health Information Processing: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers de Buzhou Tang

Health Information Processing: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers: Communications in Computer and Information Science, cartea 1772

Editat de Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang
en Limba Engleză Paperback – 22 feb 2023
This book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 26–28, 2022.

The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications
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Specificații

ISBN-13: 9789811998645
ISBN-10: 9811998647
Pagini: 212
Ilustrații: XIV, 212 p. 59 illus., 43 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Singapore, Singapore

Cuprins

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.