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001447940 001__ 1447940
001447940 003__ OCoLC
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001447940 019__ $$a1334100997
001447940 020__ $$a9783031045974$$q(electronic bk.)
001447940 020__ $$a3031045971$$q(electronic bk.)
001447940 020__ $$z9783031045967
001447940 020__ $$z3031045963
001447940 0247_ $$a10.1007/978-3-031-04597-4$$2doi
001447940 035__ $$aSP(OCoLC)1334105743
001447940 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001447940 049__ $$aISEA
001447940 050_4 $$aR859.7.A78
001447940 08204 $$a610.285/63$$223/eng/20220712
001447940 24500 $$aArtificial intelligence and machine learning methods in COVID-19 and related health diseases /$$cVictor Chang, Harleen Kaur, Simon James Fong, editors.
001447940 260__ $$aCham :$$bSpringer,$$c2022.
001447940 300__ $$a1 online resource (254 pages)
001447940 336__ $$atext$$btxt$$2rdacontent
001447940 337__ $$acomputer$$bc$$2rdamedia
001447940 338__ $$aonline resource$$bcr$$2rdacarrier
001447940 4901_ $$aStudies in Computational Intelligence ;$$vv. 1023
001447940 5050_ $$aUncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis -- A review of Machine Learning techniques to detect and treat COVID-19 using EHR data -- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario -- Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach -- Impact of COVID-19 on Indian Agriculture -- Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.
001447940 506__ $$aAccess limited to authorized users.
001447940 520__ $$aThis Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.
001447940 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 12, 2022).
001447940 650_0 $$aArtificial intelligence$$xMedical applications.
001447940 650_0 $$aCOVID-19 (Disease)$$xData processing.
001447940 655_0 $$aElectronic books.
001447940 7001_ $$aChang, Victor.
001447940 7001_ $$aKaur, Harleen.
001447940 7001_ $$aFong, Simon.
001447940 77608 $$iPrint version:$$aChang, Victor.$$tArtificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases.$$dCham : Springer International Publishing AG, ©2022$$z9783031045967
001447940 830_0 $$aStudies in computational intelligence ;$$vv. 1023.
001447940 852__ $$bebk
001447940 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04597-4$$zOnline Access$$91397441.1
001447940 909CO $$ooai:library.usi.edu:1447940$$pGLOBAL_SET
001447940 980__ $$aBIB
001447940 980__ $$aEBOOK
001447940 982__ $$aEbook
001447940 983__ $$aOnline
001447940 994__ $$a92$$bISE