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001450954 001__ 1450954
001450954 003__ OCoLC
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001450954 019__ $$a1348923160$$a1349282118
001450954 020__ $$a9783031206276$$q(electronic bk.)
001450954 020__ $$a3031206274$$q(electronic bk.)
001450954 020__ $$z9783031206269
001450954 020__ $$z3031206266
001450954 0247_ $$a10.1007/978-3-031-20627-6$$2doi
001450954 035__ $$aSP(OCoLC)1350247800
001450954 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL
001450954 049__ $$aISEA
001450954 050_4 $$aR858.A2
001450954 08204 $$a610.285$$223/eng/20221104
001450954 1112_ $$aHIS (Conference)$$n(11th :$$d2022 :$$cOnline)
001450954 24510 $$aHealth information science :$$b11th International Conference, HIS 2022, virtual event, October 28-30, 2022, proceedings /$$cAgma Traina [and five others] (eds.).
001450954 2463_ $$aHIS 2022
001450954 264_1 $$aCham :$$bSpringer,$$c2022.
001450954 300__ $$a1 online resource (1 volume) :$$billustrations (black and white).
001450954 336__ $$atext$$btxt$$2rdacontent
001450954 337__ $$acomputer$$bc$$2rdamedia
001450954 338__ $$aonline resource$$bcr$$2rdacarrier
001450954 4901_ $$aLecture notes in computer science ;$$v13705
001450954 500__ $$aIncludes author index.
001450954 5050_ $$aApplications of Health and Medical Data -- Evidence extraction to validate medical claims in fake news detection -- Detection of obsessive-compulsive disorder in Australian children and adolescents using machine learning methods -- An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series -- Anomaly Detection on Health Data -- DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data -- An Intelligence Model for Blood Pressure Estimation from Photoplethysmography Signal -- Tailored Nutrition Service to Reduce the Risk of Chronic Diseases -- Combining Process Mining And Time Series Forecasting To Predict Hospital Bed Occupancy -- HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation -- Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG -- Learning optimal treatment strategies for sepsis using online reinforcement learning in continuous space -- Health and Medical Data Processing -- MHDML:Construction of A Medical Lakehouse for Multi-source Heterogeneous Data -- Data Exploration Optimization for Medical Big Data -- Improving Data Analytic Performance in Health Information System with Big Data Technology -- HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse Platform -- The construction and validation of an automatic crisis balance analysis model -- Assessing the Utilization of TELedentistry from perspectives of early career dental practitioners - development of the UTEL Questionnaire -- Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System -- Research on the Crisis Intervention Strategy Service System -- Towards a Perspective to Analyze Emergent Sytems in the Health Domain -- Health and Medical Data Mining via Graph-based Approaches -- Food recommendation for mental health by using knowledge graph approach -- Medical Knowledge Graph Construction Based on Traceable Conversion -- Medical Knowledge Graph Construction Based on Traceable Conversion -- Alcoholic EEG Data Classification Using Weighted Graph Based Technique -- Health and Medical Data Classification -- Optical Coherence Tomography Classification based on Transfer Learning and RA-Attention -- Intelligent Interpretation and Classification of Multivariate Medical time series based on Convolutional Neural Networks -- ECG Signals Classification Model Based on Frequency domain Features Coupled with Least Square Support Vector Machine (LS-SVM) -- Cluster analysis of low-dimensional medical concept representations from Electronic Health Records.
001450954 506__ $$aAccess limited to authorized users.
001450954 520__ $$aThis book constitutes the refereed proceedings of the 11th International Conference on Health Information Science, HIS 2022, held in Virtual Event during October 2830, 2022. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.
001450954 588__ $$aDescription based on print version record.
001450954 650_0 $$aMedical informatics$$vCongresses.
001450954 650_0 $$aMedical records$$xData processing$$vCongresses.
001450954 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001450954 655_0 $$aElectronic books.
001450954 7001_ $$aTraina, Agma Juci Machado,$$eeditor.$$1https://isni.org/isni/0000000044717290
001450954 77608 $$iPrint version:$$aHIS (Conference) (11th : 2022 : Online), creator.$$tHealth information science.$$dCham : Springer Nature Switzerland, 2022$$z9783031206269$$w(OCoLC)1348390723
001450954 830_0 $$aLecture notes in computer science ;$$v13705.
001450954 852__ $$bebk
001450954 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20627-6$$zOnline Access$$91397441.1
001450954 909CO $$ooai:library.usi.edu:1450954$$pGLOBAL_SET
001450954 980__ $$aBIB
001450954 980__ $$aEBOOK
001450954 982__ $$aEbook
001450954 983__ $$aOnline
001450954 994__ $$a92$$bISE