001470122 000__ 04222cam\\22006017a\4500
001470122 001__ 1470122
001470122 003__ OCoLC
001470122 005__ 20230803003403.0
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001470122 008__ 230701s2023\\\\sz\\\\\\o\\\\\000\0\eng\d
001470122 019__ $$a1387009506
001470122 020__ $$a9783031307881$$q(electronic bk.)
001470122 020__ $$a3031307887$$q(electronic bk.)
001470122 020__ $$z3031307879
001470122 020__ $$z9783031307874
001470122 0247_ $$a10.1007/978-3-031-30788-1$$2doi
001470122 035__ $$aSP(OCoLC)1388495980
001470122 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE$$dYDX
001470122 049__ $$aISEA
001470122 050_4 $$aRA644.C67$$bC66 2023
001470122 08204 $$a616.24144$$223/eng/20230712
001470122 24500 $$aComputerized systems for diagnosis and treatment of COVID-19 /$$cJoao Alexandre Lobo Marques, Simon James Fong, editors.
001470122 260__ $$aCham :$$bSpringer,$$c2023.
001470122 300__ $$a1 online resource (210 p.)
001470122 336__ $$atext$$btxt$$2rdacontent
001470122 337__ $$acomputer$$bc$$2rdamedia
001470122 338__ $$aonline resource$$bcr$$2rdacarrier
001470122 5050_ $$aClinical impact of automatic diagnostic systems -- Lung segmentation from XRay -- Lung segmentation from CT Scan -- Covid Automatic Diagnostic based on XRay -- Covid Automatic Diagnostic based on CTScan -- Cardiovascular analysis of covid patients based on ECG -- Cognitive analysis of covid patients based on EEG -- AI Controlled Mechanical Ventilator for COVID-19 patients.
001470122 506__ $$aAccess limited to authorized users.
001470122 520__ $$aThis book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
001470122 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 12, 2023).
001470122 650_0 $$aCOVID-19 (Disease)$$xDiagnosis$$xData processing.
001470122 650_0 $$aCOVID-19 (Disease)$$xTreatment$$xTechnological innovations.
001470122 650_0 $$aArtificial intelligence$$xMedical applications.
001470122 655_0 $$aElectronic books.
001470122 7001_ $$aMarques, Joao Alexandre Lobo.
001470122 7001_ $$aFong, Simon.
001470122 77608 $$iPrint version:$$aLobo Marques, Joao Alexandre$$tComputerized Systems for Diagnosis and Treatment of COVID-19$$dCham : Springer International Publishing AG,c2023$$z9783031307874
001470122 852__ $$bebk
001470122 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30788-1$$zOnline Access$$91397441.1
001470122 909CO $$ooai:library.usi.edu:1470122$$pGLOBAL_SET
001470122 980__ $$aBIB
001470122 980__ $$aEBOOK
001470122 982__ $$aEbook
001470122 983__ $$aOnline
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