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: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2017
|
| Schriftenreihe: | SpringerBriefs in Pharmaceutical Science & Drug Development
|
| Schlagworte: | |
| Online-Zugang: | UBR01 UBT01 UEI01 Volltext |
| 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: | 1 Online-Ressource (VII, 100 p. 46 illus., 45 illus. in color) |
| ISBN: | 9783319629902 |
| DOI: | 10.1007/978-3-319-62990-2 |
Internformat
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Datensatz im Suchindex
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| author2 | Amirian, Pouria Lang, Trudie Van Loggerenberg, Francois |
| author2_role | edt edt edt |
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| author_facet | Amirian, Pouria Lang, Trudie Van Loggerenberg, Francois |
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| ctrlnum | (ZDB-2-SME)9783319629902 (OCoLC)1011418271 (DE-599)BVBBV044530055 |
| dewey-full | 615.19 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 615 - Pharmacology and therapeutics |
| dewey-raw | 615.19 |
| dewey-search | 615.19 |
| dewey-sort | 3615.19 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| doi_str_mv | 10.1007/978-3-319-62990-2 |
| format | Electronic eBook |
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| id | DE-604.BV044530055 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:55:06Z |
| institution | BVB |
| isbn | 9783319629902 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029929356 |
| oclc_num | 1011418271 |
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| owner_facet | DE-355 DE-BY-UBR DE-824 DE-703 |
| physical | 1 Online-Ressource (VII, 100 p. 46 illus., 45 illus. in color) |
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| publishDate | 2017 |
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| publisher | Springer |
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| series2 | SpringerBriefs in Pharmaceutical Science & Drug Development |
| spelling | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines Pouria Amirian, Trudie Lang, Francois van Loggerenberg, editors Cham Springer 2017 1 Online-Ressource (VII, 100 p. 46 illus., 45 illus. in color) txt rdacontent c rdamedia cr 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. Medicine Pharmaceutical technology Health informatics Biomedicine Pharmaceutical Sciences/Technology Health Informatics Medizin Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Bedside-Methode (DE-588)4232767-2 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 s Big Data (DE-588)4802620-7 s Bedside-Methode (DE-588)4232767-2 s DE-604 Amirian, Pouria edt Lang, Trudie edt Van Loggerenberg, Francois edt Erscheint auch als Druck-Ausgabe 978-3-319-62988-9 https://doi.org/10.1007/978-3-319-62990-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines Medicine Pharmaceutical technology Health informatics Biomedicine Pharmaceutical Sciences/Technology Health Informatics Medizin Gesundheitswesen (DE-588)4020775-4 gnd Big Data (DE-588)4802620-7 gnd Bedside-Methode (DE-588)4232767-2 gnd |
| subject_GND | (DE-588)4020775-4 (DE-588)4802620-7 (DE-588)4232767-2 |
| 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 Pouria Amirian, Trudie Lang, Francois van Loggerenberg, editors |
| title_fullStr | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines Pouria Amirian, Trudie Lang, Francois van Loggerenberg, editors |
| title_full_unstemmed | Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines Pouria Amirian, Trudie Lang, Francois van Loggerenberg, editors |
| 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 | Medicine Pharmaceutical technology Health informatics Biomedicine Pharmaceutical Sciences/Technology Health Informatics Medizin Gesundheitswesen (DE-588)4020775-4 gnd Big Data (DE-588)4802620-7 gnd Bedside-Methode (DE-588)4232767-2 gnd |
| topic_facet | Medicine Pharmaceutical technology Health informatics Biomedicine Pharmaceutical Sciences/Technology Health Informatics Medizin Gesundheitswesen Big Data Bedside-Methode |
| url | https://doi.org/10.1007/978-3-319-62990-2 |
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