LEADER 03429nam 22005055 450 001 996508671003316 005 20230120065022.0 010 $a3-031-23905-9 024 7 $a10.1007/978-3-031-23905-2 035 $a(MiAaPQ)EBC7184751 035 $a(Au-PeEL)EBL7184751 035 $a(CKB)26037402800041 035 $a(MiAaPQ)EBC7184756 035 $a(DE-He213)978-3-031-23905-2 035 $a(PPN)267807120 035 $a(EXLCZ)9926037402800041 100 $a20230120d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHeterogeneous Data Management, Polystores, and Analytics for Healthcare$b[electronic resource] $eVLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers /$fedited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (103 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13814 300 $aIncludes index. 311 08$aPrint version: Rezig, El Kindi Heterogeneous Data Management, Polystores, and Analytics for Healthcare Cham : Springer,c2023 9783031239045 327 $aPOLY 2022 -- Privacy, Security and/or Policy Issues for Heterogeneous Data -- Ad-hoc Searches on Image Databases -- A Survey of Data Challenges across a Modernizing Bureaucracy: A New Perspective on Examining Old Government Problems -- Purpose Scan: A purpose-aware access method -- DMAH 2022 -- Enabling Real-world Medicine with Data Lake Federation: a research perspective -- Towards Assessing Data Bias in Clinical Trials -- Clinical synthetic data generation to predict and identify risk factors for cardiovascular diseases. . 330 $aThis book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2022, and the 8th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2022, which were held virtually on September 9, 2022. The proceedings include 3 full papers each from Poly 2022 and from DMAH 2022. DMAH deals with innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic - data, and data from social media and the Web. Poly is focusing on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13814 606 $aApplication software 606 $aComputer and Information Systems Applications 615 0$aApplication software. 615 14$aComputer and Information Systems Applications. 676 $a005.7565 702 $aRezig$b El Kindi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996508671003316 996 $aHeterogeneous data management, polystores, and analytics for healthcare$91896702 997 $aUNISA