Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools
In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. The health industry sector has been confronted by the need to manage the big data be...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2019-03-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2018.9020031 |
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| author | Sunil Kumar Maninder Singh |
| author_facet | Sunil Kumar Maninder Singh |
| author_sort | Sunil Kumar |
| collection | DOAJ |
| description | In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. The health industry sector has been confronted by the need to manage the big data being produced by various sources, which are well known for producing high volumes of heterogeneous data. Various big-data analytics tools and techniques have been developed for handling these massive amounts of data, in the healthcare sector. In this paper, we discuss the impact of big data in healthcare, and various tools available in the Hadoop ecosystem for handling it. We also explore the conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system. |
| format | Article |
| id | doaj-art-34b5468052e948218867c7fcc2bfdfbc |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2019-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-34b5468052e948218867c7fcc2bfdfbc2025-02-02T05:59:19ZengTsinghua University PressBig Data Mining and Analytics2096-06542019-03-0121485710.26599/BDMA.2018.9020031Big Data Analytics for Healthcare Industry: Impact, Applications, and ToolsSunil Kumar0Maninder Singh1<institution content-type="dept">Directorate of Livestock Farms</institution>, <institution>Guru Angad Dev Veterinary and Animal Sciences University</institution>, <city>Ludhiana</city>, <country>India</country>.<institution content-type="dept">Department of Computer Science</institution>, <institution>Punjabi University</institution>, <city>Patiala</city>, <country>India</country>.In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. The health industry sector has been confronted by the need to manage the big data being produced by various sources, which are well known for producing high volumes of heterogeneous data. Various big-data analytics tools and techniques have been developed for handling these massive amounts of data, in the healthcare sector. In this paper, we discuss the impact of big data in healthcare, and various tools available in the Hadoop ecosystem for handling it. We also explore the conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system.https://www.sciopen.com/article/10.26599/BDMA.2018.9020031big datahealthcarehadoopmapreduce |
| spellingShingle | Sunil Kumar Maninder Singh Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools Big Data Mining and Analytics big data healthcare hadoop mapreduce |
| title | Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools |
| title_full | Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools |
| title_fullStr | Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools |
| title_full_unstemmed | Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools |
| title_short | Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools |
| title_sort | big data analytics for healthcare industry impact applications and tools |
| topic | big data healthcare hadoop mapreduce |
| url | https://www.sciopen.com/article/10.26599/BDMA.2018.9020031 |
| work_keys_str_mv | AT sunilkumar bigdataanalyticsforhealthcareindustryimpactapplicationsandtools AT manindersingh bigdataanalyticsforhealthcareindustryimpactapplicationsandtools |