LEADER 04196nam 2201069z- 450 001 9910576885103321 005 20231214133036.0 035 $a(CKB)5720000000008323 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84486 035 $a(EXLCZ)995720000000008323 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science in Healthcare 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (212 p.) 311 $a3-0365-3983-2 311 $a3-0365-3984-0 330 $aData science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management. 606 $aMedicine$2bicssc 606 $aPharmacology$2bicssc 610 $adata sharing 610 $adata management 610 $adata science 610 $abig data 610 $ahealthcare 610 $adepression 610 $apsychological treatment 610 $atask sharing 610 $aprimary care 610 $apilot study 610 $anon-specialist health worker 610 $atraining 610 $adigital technology 610 $amental health 610 $aCOVID-19 610 $aSARS-CoV-2 610 $apneumonia 610 $acomputed tomography 610 $acase fatality rate 610 $asocial distancing 610 $asmoking 610 $ametabolically healthy obese phenotype 610 $ametabolic syndrome 610 $aobesity 610 $acoronavirus 610 $amachine learning 610 $asocial media 610 $aapache spark 610 $aTwitter 610 $aArabic language 610 $adistributed computing 610 $asmart cities 610 $asmart healthcare 610 $asmart governance 610 $aTriple Bottom Line (TBL) 610 $athoracic pain 610 $atree classification 610 $across-validation 610 $ahand-foot-and-mouth disease 610 $aearly-warning model 610 $aneural network 610 $agenetic algorithm 610 $asentinel surveillance system 610 $aoutbreak prediction 610 $aartificial intelligence 610 $avascular access surveillance 610 $aarteriovenous fistula 610 $aend stage kidney disease 610 $adialysis 610 $akidney failure 610 $achronic kidney disease (CKD) 610 $aend-stage kidney disease (ESKD) 610 $akidney replacement therapy (KRT) 610 $arisk prediction 610 $anai?ve Bayes classifiers 610 $aprecision medicine 610 $amachine learning models 610 $adata exploratory techniques 610 $abreast cancer diagnosis 610 $atumors classification 615 7$aMedicine 615 7$aPharmacology 700 $aHulsen$b Tim$4edt$01302275 702 $aHulsen$b Tim$4oth 906 $aBOOK 912 $a9910576885103321 996 $aData Science in Healthcare$93026328 997 $aUNINA LEADER 02430nam 2200625z- 450 001 9910557337803321 005 20231214133405.0 035 $a(CKB)5400000000042500 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76587 035 $a(EXLCZ)995400000000042500 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetworks, Communication, and Computing Vol. 2 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (108 p.) 311 $a3-0365-1234-9 311 $a3-0365-1235-7 330 $aNetworks, communications, and computing have become ubiquitous and inseparable parts of everyday life. This book is based on a Special Issue of the Algorithms journal, and it is devoted to the exploration of the many-faceted relationship of networks, communications, and computing. The included papers explore the current state-of-the-art research in these areas, with a particular interest in the interactions among the fields. 606 $aInformation technology industries$2bicssc 610 $acommunication traffic prediction 610 $aintelligent traffic management 610 $adeformable convolution 610 $aattention mechanism 610 $athe next generation of telecommunication (5G) 610 $adeep learning 610 $areinforcement learning 610 $asystematic review 610 $acellular networks 610 $aunderwater wireless sensor networks 610 $aant colony optimization algorithms 610 $aclustering routing algorithms 610 $aenergy efficiency 610 $anetwork lifetime 610 $aunmanned aerial vehicles 610 $aUAV placement 610 $ametaheuristics 610 $arouting 610 $aNP-complete 610 $aNP-hard 610 $aapproximation 610 $apolynomial time algorithm 610 $adisjoint connecting paths 610 $aunsplittable flow 610 $anetwork design 615 7$aInformation technology industries 700 $aFarago$b Andras$4edt$01322271 702 $aFarago$b Andras$4oth 906 $aBOOK 912 $a9910557337803321 996 $aNetworks, Communication, and Computing Vol. 2$93034738 997 $aUNINA LEADER 02156oam 2200469 450 001 9910158651703321 005 20190911103516.0 010 $a1-5081-7273-0 035 $a(OCoLC)967983876 035 $a(MiFhGG)GVRL08BA 035 $a(EXLCZ)993710000001009968 100 $a20160706h20172017 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a20 great career-building activities using Instagram and Snapchat /$fEduardo Lopez 205 $aFirst edition. 210 1$aNew York :$cRosen Publishing,$d2017. 210 4$d?2017 215 $a1 online resource (64 pages) $ccolor illustrations 225 1 $aSocial media career-building 311 $a1-5081-7272-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- How visual content became king -- Getting started on Instagram -- Creating a content plan -- Getting started on Snapchat -- Creating a plan for your Snapchat content -- Building your portfolio -- Glossary -- For more information -- For further reading -- Bibliography -- Index. 330 $aTo prepare students for success in writing, creating content, and marketing, this guide walks the reader through both of these the image-based platforms Snapchat and Instagram, comparing their advantages and drawbacks. The twenty activities included give students concrete skills to develop as they consider their audience, map out plans for the content they plan to post, and learn how to use social media to attract the notice of colleges and employers. 410 0$aSocial media career building. 606 $aBusiness networks 606 $aEmployment portfolios 606 $aCareer development 615 0$aBusiness networks. 615 0$aEmployment portfolios. 615 0$aCareer development. 676 $a650.1/3 700 $aLopez$b Eduardo$f1989-$01249110 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910158651703321 996 $a20 great career-building activities using Instagram and Snapchat$92894808 997 $aUNINA