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020 _a9783319162263
_9978-3-319-16226-3
024 7 _a10.1007/978-3-319-16226-3
_2doi
050 4 _aR858-859.7
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072 7 _aMED117000
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082 0 4 _a610.285
_223
245 1 0 _aSmart Health
_h[electronic resource] :
_bOpen Problems and Future Challenges /
_cedited by Andreas Holzinger, Carsten Röcker, Martina Ziefle.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIV, 275 p. 68 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v8700
505 0 _aFrom Smart Health to Smart Hospitals -- Medicine and Health Care as a Data Problem: Will Computers Become Better Medical Doctors -- Spatial Health Systems: When Humans Move Around -- Towards Pervasive Mobility Assessments in Clinical and Domestic Environments -- Personalized Physical Activity Monitoring Using Wearable Sensors -- Energy Harvesting on Human Bodies -- On Distant Speech Recognition for Home Automation -- A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health -- Linking Biomedical Data to the Cloud -- Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges -- State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues.
520 _aProlonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with "big data" are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.
650 0 _aMedical informatics.
_94729
650 0 _aApplication software.
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650 0 _aDatabase management.
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650 0 _aData mining.
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650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 1 4 _aHealth Informatics.
_931799
650 2 4 _aComputer and Information Systems Applications.
_9166373
650 2 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9166374
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
700 1 _aHolzinger, Andreas.
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700 1 _aRöcker, Carsten.
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700 1 _aZiefle, Martina.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319162270
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
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_9166379
856 4 0 _uhttps://doi.org/10.1007/978-3-319-16226-3
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