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