| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/hisas/RaghupathiR14 |
| P6179 | Dimensions Publication ID | 1004595419 |
| P356 | DOI | 10.1186/2047-2501-2-3 |
| P8608 | Fatcat ID | release_esyajigavnhqpk4i77a3odglp4 |
| P3181 | OpenCitations bibliographic resource ID | 556866 |
| P932 | PMC publication ID | 4341817 |
| P698 | PubMed publication ID | 25825667 |
| P5875 | ResearchGate publication ID | 272830136 |
| P2093 | author name string | Wullianallur Raghupathi | |
| Viju Raghupathi | |||
| P2860 | cites work | Towards Large-scale Twitter Mining for Drug-related Adverse Events | Q89116722 |
| Big data, bigger outcomes: Healthcare is embracing the big data movement, hoping to revolutionize HIM by distilling vast collection of data for specific analysis | Q30573163 | ||
| P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | big data | Q858810 |
| P304 | page(s) | 3 | |
| P577 | publication date | 2014-01-01 | |
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | Health Information Science and Systems | Q27726105 |
| P1476 | title | Big data analytics in healthcare: promise and potential | |
| P478 | volume | 2 |
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