Verfügbarkeit: Mobile health :: Universität Regensburg

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Bibliographische Detailangaben
Titel:	Mobile health sensors, analytic methods, and applications
Von:	James M. Rehg, Susan A. Murphy, Santosh Kumar, editors
Person:	Rehg, James M. Murphy, Susan A. Kumar, Santosh 1977-
Weitere beteiligte Personen:	Rehg, James M. (HerausgeberIn), Murphy, Susan A. (HerausgeberIn), Kumar, Santosh 1977- (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer [2017]
Notation:	ST 640
Schlagwörter:	Computer science Health informatics Computer communication systems Data mining Artificial intelligence Statistics Computer Science Health Informatics Artificial Intelligence (incl. Robotics) Statistics for Life Sciences, Medicine, Health Sciences Data Mining and Knowledge Discovery Computer Communication Networks Informatik Künstliche Intelligenz Statistik E-Health Aufsatzsammlung
Medienzugang:	https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2 https://doi.org/10.1007/978-3-319-51394-2
Umfang:	1 Online-Ressource (XL, 542 Seiten, 128 illus., 100 illus. in color)
ISBN:	9783319513942
DOI:	10.1007/978-3-319-51394-2

Internformat

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owner	DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM
owner_facet	DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM
physical	1 Online-Ressource (XL, 542 Seiten, 128 illus., 100 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2017
publishDate	2017
publishDateSearch	2017
publishDateSort	2017
publisher	Springer
record_format	marc
spellingShingle	Mobile health sensors, analytic methods, and applications Computer science Health informatics Computer communication systems Data mining Artificial intelligence Statistics Computer Science Health Informatics Artificial Intelligence (incl. Robotics) Statistics for Life Sciences, Medicine, Health Sciences Data Mining and Knowledge Discovery Computer Communication Networks Informatik Künstliche Intelligenz Statistik E-Health (DE-588)7542254-2 gnd
subject_GND	(DE-588)7542254-2 (DE-588)4143413-4
title	Mobile health sensors, analytic methods, and applications
title_auth	Mobile health sensors, analytic methods, and applications
title_exact_search	Mobile health sensors, analytic methods, and applications
title_full	Mobile health sensors, analytic methods, and applications James M. Rehg, Susan A. Murphy, Santosh Kumar, editors
title_fullStr	Mobile health sensors, analytic methods, and applications James M. Rehg, Susan A. Murphy, Santosh Kumar, editors
title_full_unstemmed	Mobile health sensors, analytic methods, and applications James M. Rehg, Susan A. Murphy, Santosh Kumar, editors
title_short	Mobile health
title_sort	mobile health sensors analytic methods and applications
title_sub	sensors, analytic methods, and applications
topic	Computer science Health informatics Computer communication systems Data mining Artificial intelligence Statistics Computer Science Health Informatics Artificial Intelligence (incl. Robotics) Statistics for Life Sciences, Medicine, Health Sciences Data Mining and Knowledge Discovery Computer Communication Networks Informatik Künstliche Intelligenz Statistik E-Health (DE-588)7542254-2 gnd
topic_facet	Computer science Health informatics Computer communication systems Data mining Artificial intelligence Statistics Computer Science Health Informatics Artificial Intelligence (incl. Robotics) Statistics for Life Sciences, Medicine, Health Sciences Data Mining and Knowledge Discovery Computer Communication Networks Informatik Künstliche Intelligenz Statistik E-Health Aufsatzsammlung
url	https://doi.org/10.1007/978-3-319-51394-2
work_keys_str_mv	AT rehgjamesm mobilehealthsensorsanalyticmethodsandapplications AT murphysusana mobilehealthsensorsanalyticmethodsandapplications AT kumarsantosh mobilehealthsensorsanalyticmethodsandapplications

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