001434441 000__ 03575cam\a2200601\i\4500 001434441 001__ 1434441 001434441 003__ OCoLC 001434441 005__ 20230309003729.0 001434441 006__ m\\\\\o\\d\\\\\\\\ 001434441 007__ cr\nn\nnnunnun 001434441 008__ 210125s2021\\\\sz\a\\\\ob\\\\000\0\eng\d 001434441 019__ $$a1233246442$$a1235600178 001434441 020__ $$a3030452409$$q(electronic book) 001434441 020__ $$a9783030452407$$q(electronic bk.) 001434441 020__ $$z3030452395 001434441 020__ $$z9783030452391 001434441 0247_ $$a10.1007/978-3-030-45240-7$$2doi 001434441 035__ $$aSP(OCoLC)1239997338 001434441 040__ $$aSFB$$beng$$erda$$epn$$cSFB$$dGW5XE$$dYDX$$dEBLCP$$dOCLCO$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dOCLCQ 001434441 049__ $$aISEA 001434441 050_4 $$aR859.7.A78 001434441 08204 $$a610.28563$$223 001434441 24500 $$aArtificial intelligence and data mining in healthcare /$$cMalek Masmoudi, Bassem Jarboui, Patrick Siarry, editors. 001434441 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001434441 300__ $$a1 online resource (xix, 195 pages) :$$billustrations (some color) 001434441 336__ $$atext$$btxt$$2rdacontent 001434441 337__ $$acomputer$$bc$$2rdamedia 001434441 338__ $$aonline resource$$bcr$$2rdacarrier 001434441 504__ $$aIncludes bibliographical references. 001434441 5050_ $$aArtificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- AI/OR Synergies of Process Mining with Optimal Planningof Patient Pathways for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How the Health-Care Expenditure Influences the Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and Negative Selection to Visualize Clinical Pathways from Electronic Health Record Data -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. 001434441 506__ $$aAccess limited to authorized users. 001434441 520__ $$aThis book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics. 001434441 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 15, 2021). 001434441 650_0 $$aArtificial intelligence$$xMedical applications. 001434441 650_0 $$aHealth services administration$$xData processing. 001434441 650_0 $$aMedical informatics. 001434441 650_0 $$aData mining. 001434441 650_0 $$aMedicine$$xData processing. 001434441 650_6 $$aIntelligence artificielle en médecine. 001434441 650_6 $$aServices de santé$$xAdministration$$xInformatique. 001434441 650_6 $$aMédecine$$xInformatique. 001434441 650_6 $$aExploration de données (Informatique) 001434441 655_0 $$aElectronic books. 001434441 7001_ $$aMasmoudi, Malek,$$eeditor. 001434441 7001_ $$aJarboui, Bassem,$$eeditor. 001434441 7001_ $$aSiarry, Patrick,$$eeditor. 001434441 77608 $$iPrint version:$$z9783030452391 001434441 852__ $$bebk 001434441 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-45240-7$$zOnline Access$$91397441.1 001434441 909CO $$ooai:library.usi.edu:1434441$$pGLOBAL_SET 001434441 980__ $$aBIB 001434441 980__ $$aEBOOK 001434441 982__ $$aEbook 001434441 983__ $$aOnline 001434441 994__ $$a92$$bISE