001441577 000__ 03892cam\a2200589Ii\4500
001441577 001__ 1441577
001441577 003__ OCoLC
001441577 005__ 20230309004747.0
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001441577 019__ $$a1290814719$$a1290839753$$a1294362389
001441577 020__ $$a9789811667688$$q(electronic bk.)
001441577 020__ $$a9811667683$$q(electronic bk.)
001441577 020__ $$z9789811667671$$q(print)
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001441577 0247_ $$a10.1007/978-981-16-6768-8$$2doi
001441577 035__ $$aSP(OCoLC)1291272166
001441577 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCO$$dDCT$$dOCLCF$$dOCLCO$$dN$T$$dOCLCQ
001441577 049__ $$aISEA
001441577 050_4 $$aR859.7.A78
001441577 08204 $$a610.285/63$$223
001441577 1001_ $$aSantosh, K. C.,$$eauthor.$$1https://orcid.org/0000-0003-4176-0236
001441577 24510 $$aArtificial intelligence and machine learning in public healthcare :$$bopportunities and societal impact /$$cKC Santosh, Loveleen Gaur.
001441577 264_1 $$aSingapore :$$bSpringer,$$c2021.
001441577 300__ $$a1 online resource (xxiii, 74 pages) :$$billustrations (some color).
001441577 336__ $$atext$$btxt$$2rdacontent
001441577 337__ $$acomputer$$bc$$2rdamedia
001441577 338__ $$aonline resource$$bcr$$2rdacarrier
001441577 347__ $$atext file$$bPDF$$2rda
001441577 4901_ $$aSpringerBriefs in applied sciences and technology, Computational intelligence,$$x2625-3712
001441577 504__ $$aIncludes bibliographical references.
001441577 5050_ $$aIntroduction to AI in Public Health -- Open Public Health Issues -- AI Solutions to Public Health Issues -- AI in Sustainable Public Healthcare -- AI in Precision Medicine -- Societal Impact: AI in Public Health Issues -- Case Studies - AI for Infectious Disease -- Privacy, Security and Ethical Issues.
001441577 506__ $$aAccess limited to authorized users.
001441577 520__ $$aThis book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example--a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
001441577 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 7, 2022).
001441577 650_0 $$aArtificial intelligence$$xMedical applications.
001441577 650_0 $$aPublic health$$xData processing.
001441577 650_0 $$aMachine learning.
001441577 650_6 $$aIntelligence artificielle en médecine.
001441577 650_6 $$aSanté publique$$xInformatique.
001441577 650_6 $$aApprentissage automatique.
001441577 655_0 $$aElectronic books.
001441577 7001_ $$aGaur, Loveleen,$$eauthor.$$1https://orcid.org/0000-0002-0885-1550
001441577 77608 $$iPrint version:$$z9811667675$$z9789811667671$$w(OCoLC)1266896566
001441577 830_0 $$aSpringerBriefs in applied sciences and technology.$$pComputational intelligence,$$x2625-3712
001441577 852__ $$bebk
001441577 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-6768-8$$zOnline Access$$91397441.1
001441577 909CO $$ooai:library.usi.edu:1441577$$pGLOBAL_SET
001441577 980__ $$aBIB
001441577 980__ $$aEBOOK
001441577 982__ $$aEbook
001441577 983__ $$aOnline
001441577 994__ $$a92$$bISE