Health Information Processing
portes grátis
Health Information Processing
8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers
Lin, Hongfei; Hao, Tianyong; Tang, Buzhou; Wang, Haitian; Wu, Fei; Chen, Qingcai; Wang, Yanshan; Liu, Lei
Springer Verlag, Singapore
02/2023
212
Mole
Inglês
9789811998645
15 a 20 dias
Descrição não disponível.
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.
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Medical Text mining or Data mining;Neural networks or Machine learning algorithms;Medical Natural language processing;Gene-Disease Semantic Association;Medical Causal Entity and Relation Extraction;OCR of electronic medical documents;Clinical Diagnosis Coding
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
