001454936 000__ 04148cam\a22005417i\4500
001454936 001__ 1454936
001454936 003__ OCoLC
001454936 005__ 20230314003235.0
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001454936 020__ $$a9789811998652$$q(electronic bk.)
001454936 020__ $$a9811998655$$q(electronic bk.)
001454936 020__ $$z9789811998645
001454936 020__ $$z9811998647
001454936 0247_ $$a10.1007/978-981-19-9865-2$$2doi
001454936 035__ $$aSP(OCoLC)1371442063
001454936 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001454936 049__ $$aISEA
001454936 050_4 $$aR858.A2
001454936 08204 $$a610.285$$223/eng/20230301
001454936 1112_ $$aChina Conference on China Health Information Processing$$n(8th :$$d2022 :$$cOnline)
001454936 24510 $$aHealth information processing :$$b8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, revised selected papers /$$cBuzhou Tang [and seven others], editors.
001454936 2463_ $$aCHIP 2022
001454936 264_1 $$aSingapore :$$bSpringer,$$c2023.
001454936 300__ $$a1 online resource (207 pages)
001454936 336__ $$atext$$btxt$$2rdacontent
001454936 337__ $$acomputer$$bc$$2rdamedia
001454936 338__ $$aonline resource$$bcr$$2rdacarrier
001454936 4901_ $$aCommunications in computer and information science ;$$v1772
001454936 500__ $$a"Due to the effects of COVID-19, CHIP 2022 conference was held online [...]"-- Preface.
001454936 500__ $$aIncludes author index.
001454936 5050_ $$aHealthcare Natural Language Processing -- Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease -- Hybrid Granularity-based medical event extraction in Chinese electronic medical records -- Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature -- A Review of Biomedical Event Trigger Word Detection -- BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN -- An Semantic Similarity Matching Method for Chinese Medical Question Text -- A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning -- Healthcare Data Mining and Applications -- Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials -- Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units -- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives -- An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19 -- Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction -- Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model -- Node research on the involvement of Chinas carbon tax policy in the context of COVID-19.
001454936 506__ $$aAccess limited to authorized users.
001454936 520__ $$aThis book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 2628, 2022. The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications.
001454936 588__ $$aDescription based on print version record.
001454936 650_0 $$aMedical informatics$$vCongresses.
001454936 650_0 $$aInformation resources management$$vCongresses.
001454936 655_0 $$aElectronic books.
001454936 7001_ $$aTang, Buzhou,$$eeditor.
001454936 77608 $$iPrint version:$$aChina Conference on China Health Information Processing (8th : 2022 : Hangzhou, China), creator.$$tHealth information processing.$$dSingapore : Springer Nature Singapore, 2023$$z9789811998645$$w(OCoLC)1368273779
001454936 830_0 $$aCommunications in computer and information science ;$$v1772.
001454936 852__ $$bebk
001454936 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-9865-2$$zOnline Access$$91397441.1
001454936 909CO $$ooai:library.usi.edu:1454936$$pGLOBAL_SET
001454936 980__ $$aBIB
001454936 980__ $$aEBOOK
001454936 982__ $$aEbook
001454936 983__ $$aOnline
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