Big Data in Healthcare: Extracting Knowledge from Point-of-Care Machines
This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
[2017]
|
| Schriftenreihe: | SpringerBriefs in Pharmaceutical Science & Drug Development
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext http://www.springer.com/ |
| Zusammenfassung: | This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy. |
| Beschreibung: | vi, 84 Seiten Illustrationen 23.5 cm x 15.5 cm |
| ISBN: | 9783319629889 3319629883 |
Internformat
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Datensatz im Suchindex
| _version_ | 1806414093698990080 |
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| author2 | Amirian, Pouria Lang, Trudie van Loggerenberg, Francois |
| author2_role | edt edt edt |
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| building | Verbundindex |
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| ctrlnum | (OCoLC)1019721151 (DE-599)DNB1135289573 |
| dewey-full | 660 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 660 - Chemical engineering |
| dewey-raw | 660 |
| dewey-search | 660 |
| dewey-sort | 3660 |
| dewey-tens | 660 - Chemical engineering |
| discipline | Chemie / Pharmazie |
| format | Book |
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| spelling | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg Cham Springer International Publishing [2017] vi, 84 Seiten Illustrationen 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier SpringerBriefs in Pharmaceutical Science & Drug Development This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy. Bedside-Methode (DE-588)4232767-2 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 s Big Data (DE-588)4802620-7 s Bedside-Methode (DE-588)4232767-2 s 1\p DE-604 Amirian, Pouria edt Lang, Trudie edt van Loggerenberg, Francois edt Springer International Publishing (DE-588)1064344704 pbl Elektronische Reproduktion 9783319629902 Erscheint auch als Online-Ausgabe Big Data in Healthcare Cham : Springer International Publishing, 2017 Online-Ressourcen X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=82aaac46baca4f13b4482e13a84d0fc5&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines Bedside-Methode (DE-588)4232767-2 gnd Big Data (DE-588)4802620-7 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| subject_GND | (DE-588)4232767-2 (DE-588)4802620-7 (DE-588)4020775-4 |
| title | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines |
| title_auth | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines |
| title_exact_search | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines |
| title_full | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg |
| title_fullStr | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg |
| title_full_unstemmed | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg |
| title_short | Big Data in Healthcare |
| title_sort | big data in healthcare extracting knowledge from point of care machines |
| title_sub | Extracting Knowledge from Point-of-Care Machines |
| topic | Bedside-Methode (DE-588)4232767-2 gnd Big Data (DE-588)4802620-7 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| topic_facet | Bedside-Methode Big Data Gesundheitswesen |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=82aaac46baca4f13b4482e13a84d0fc5&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ |
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