001444407 000__ 03755cam\a2200529Ia\4500
001444407 001__ 1444407
001444407 003__ OCoLC
001444407 005__ 20230310003708.0
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001444407 019__ $$a1296913301$$a1296942852$$a1298394056
001444407 020__ $$a9783030911812$$q(electronic bk.)
001444407 020__ $$a3030911810$$q(electronic bk.)
001444407 020__ $$z3030911802
001444407 020__ $$z9783030911805
001444407 0247_ $$a10.1007/978-3-030-91181-2$$2doi
001444407 035__ $$aSP(OCoLC)1296678775
001444407 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ
001444407 049__ $$aISEA
001444407 050_4 $$aR859.7.A78
001444407 08204 $$a610.285/63$$223
001444407 24500 $$aIntegrating artificial intelligence and IoT for advanced health informatics :$$bAI in the healthcare sector /$$cCarmela Comito, Agostino Forestiero, Ester Zumpano, editors.
001444407 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001444407 300__ $$a1 online resource
001444407 4901_ $$aInternet of Things
001444407 504__ $$aIncludes bibliographical references and index.
001444407 5050_ $$a1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
001444407 506__ $$aAccess limited to authorized users.
001444407 520__ $$aThe book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.
001444407 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 28, 2022).
001444407 650_0 $$aArtificial intelligence$$xMedical applications.
001444407 650_0 $$aMedical informatics.
001444407 650_6 $$aIntelligence artificielle en médecine.
001444407 650_6 $$aMédecine$$xInformatique.
001444407 655_0 $$aElectronic books.
001444407 7001_ $$aComito, Carmela,$$eeditor.
001444407 7001_ $$aForestiero, Agostino,$$eeditor.
001444407 7001_ $$aZumpano, Ester,$$eeditor.
001444407 77608 $$iPrint version: $$z3030911802$$z9783030911805$$w(OCoLC)1277139645
001444407 830_0 $$aInternet of things.
001444407 852__ $$bebk
001444407 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-91181-2$$zOnline Access$$91397441.1
001444407 909CO $$ooai:library.usi.edu:1444407$$pGLOBAL_SET
001444407 980__ $$aBIB
001444407 980__ $$aEBOOK
001444407 982__ $$aEbook
001444407 983__ $$aOnline
001444407 994__ $$a92$$bISE