LEADER 01291nam 2200397 a 450 001 9910702024503321 005 20120830110129.0 035 $a(CKB)5470000002423886 035 $a(OCoLC)808721282 035 $a(EXLCZ)995470000002423886 100 $a20120830d2004 ua 0 101 0 $aeng 135 $aurmn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTotalization agreement with Canada$b[electronic resource] 210 1$a[Baltimore, Md.] :$c[Social Security Administration, Office of International Programs],$d[2004] 215 $a1 online resource 225 1 $aSSA publication ;$vno. 05-10198 300 $a"January 2004." 300 $a"Expires 10/31/13." 300 $a"ICN 480199." 300 $aTitle from web page (viewed on Aug. 30, 2012). 517 1 $aSocial security agreement 606 $aSocial security$zUnited States 606 $aSocial security$zCanada 615 0$aSocial security 615 0$aSocial security 712 02$aUnited States.$bSocial Security Administration.$bOffice of International Programs. 801 0$bGPO 801 1$bGPO 906 $aDOCUMENT 912 $a9910702024503321 996 $aTotalization agreement with Canada$91975292 997 $aUNINA LEADER 01836nam 2200409 a 450 001 9910696904703321 005 20230902161634.0 035 $a(CKB)5470000002383850 035 $a(OCoLC)568687131 035 $a(EXLCZ)995470000002383850 100 $a20100324d2009 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2010 census$b[electronic resource] $eCensus Bureau continues to make progress in mitigating risks to a successful enumeration, but still faces various challenges : testimony before the Subcommittee on Federal Financial Management, Government Information, Federal Services and International Security, Committee on Homeland Security and Government Affairs, U.S. Senate /$fstatement of Robert Goldenkoff 210 1$a[Washington, D.C.] :$cU.S. Govt. Accountability Office,$d[2009] 215 $a1 online resource (19 pages) $cillustrations 225 1 $aTestimony ;$vGAO-10-132T 300 $aTitle from PDF title screen (GAO, viewed Mar. 23, 2010). 300 $a"For release ... October 7, 2009." 320 $aIncludes bibliographical references. 410 0$aTestimony ;$vGAO-10-132T. 517 $a2010 census 606 $aRisk assessment 607 $aUnited States$vCensus, 2010 615 0$aRisk assessment. 700 $aGoldenkoff$b Robert$01393781 712 02$aUnited States.$bCongress.$bSenate.$bCommittee on Homeland Security and Governmental Affairs.$bSubcommittee on Federal Financial Management, Government Information, Federal Services, and International Security. 712 02$aUnited States.$bGovernment Accountability Office. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696904703321 996 $a2010 census$93458349 997 $aUNINA LEADER 04194nam 2200745z- 450 001 9910557123403321 005 20210501 035 $a(CKB)5400000000040820 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68545 035 $a(oapen)doab68545 035 $a(EXLCZ)995400000000040820 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBig Data in Dental Research and Oral Healthcare 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (112 p.) 311 08$a3-0365-0456-7 311 08$a3-0365-0457-5 330 $aProgress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards, 606 $aMedicine and Nursing$2bicssc 610 $aAI 610 $aartificial intelligence 610 $aartificial intelligence (AI) 610 $aaugmented and virtual reality (AR/VR) 610 $aaugmented reality (AR) 610 $abig data 610 $aBig Data 610 $acone beam computed tomography (CBCT) 610 $adental education 610 $adental healthcare cost 610 $adentistry 610 $adigital dentistry 610 $adigital transformation 610 $aelderly patient 610 $aethical issues 610 $afacial scanning 610 $agerodontology 610 $ahealthcare cost 610 $aintegrated care, medical-dental integration, simulation model, dental research 610 $aintraoral scanning 610 $amachine learning 610 $amachine learning (ML) 610 $amedical healthcare cost 610 $aML 610 $aneural network 610 $aoral health 610 $aoral healthcare 610 $aoral medicine 610 $apatient-centered outcomes 610 $apersonalized dental medicine 610 $arapid prototyping 610 $atele-health 610 $avirtual reality (VR) 610 $azero-inflated model 615 7$aMedicine and Nursing 700 $aJoda$b Tim$4edt$01326442 702 $aJoda$b Tim$4oth 906 $aBOOK 912 $a9910557123403321 996 $aBig Data in Dental Research and Oral Healthcare$93038778 997 $aUNINA