LEADER 03386nam 2200505 450 001 9910583328103321 005 20210201173834.0 010 $a0-12-815636-8 035 $a(CKB)4100000007150678 035 $a(PPN)240178491 035 $a(MiAaPQ)EBC5598994 035 $a(EXLCZ)994100000007150678 100 $a20181203h20192019 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aHealthcare data analytics and management$b[electronic resource] $eA volume in advances in ubiquitous sensing applications for healthcare$hVolume 2 /$fNilanjan Dey, Techno India College of Technology, Kolkata, India [and three others] 210 1$aLondon :$cAcademic Press,$d[2019] 210 4$dİ2019 215 $a1 online resource (342 pages) $ccolor illustrations 225 0 $aAdvances in ubiquitous sensing applications for healthcare 311 $a0-12-815368-7 320 $aIncludes bibliographical references and index. 327 $aInternet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare -- Migration of healthcare relational database to NoSQL cloud database for healthcare analytics and management -- Developing a decision support system for big data analysis and cost allocation in national healthcare -- Securing large datasets involving fast-performing key bunch matrix block cipher -- Comparative analysis of semantic frameworks in healthcare -- Smart ambulance system using concept of big data and internet of things -- Mathematical methods of ECG data analysis -- Smart information technology for universal healthcare -- Handling uncertainty in IoT design: An approach of statistical machine learning with distributed second-order optimization -- A reversible and secure electronic patient record embedding technique using histogram bin shifting and RC6 encryption -- Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique. 330 $aHealthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. 606 $aMedical care$xData processing 606 $aMedical care$xInformation services 606 $aHealth Care Sector 606 $aHealth Care Sector$xorganization & administration 608 $aMethods (Music)$2fast 615 0$aMedical care$xData processing. 615 0$aMedical care$xInformation services. 615 2$aHealth Care Sector. 615 2$aHealth Care Sector$xorganization & administration. 700 $aDey$b Nilanjan$0846728 702 $aDey$b Nilanjan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583328103321 996 $aHealthcare data analytics and management$91933229 997 $aUNINA