Big Data Analytic Techniques Evaluation with Hadoop Framework for Health Care based Expert System
| Vol-4 | Issue-04 | April 2019 | Published Online: 15 April 2019 PDF ( 273 KB ) | ||
| Author(s) | ||
| Neha yadav 1; P. Alagu Manoharan 2; R. Radha Raman Chaudhary 3 | ||
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1Research Scholar, Department of Computer Science & Engineering, Global Institute of technology & management (Affiliated by MDU University rohtak, HR) (India) 2Assistant professor, department of computer science & Engineering, Global Institute of technology and management (Affiliated by MDU University rohtak, HR) 3Assistant professor, department of computer science & Engineering, Global Institute of technology and management (Affiliated by MDU University rohtak, HR) |
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| Abstract | ||
Research proposes Expert systems for Health care, to solve complex problems. To fulfill this objective Hadoop framework & big data analytic techniques has been considered capable. During medical treatment patterns such as insulin, serum, & plasma glucose concentration are required to test. The pattern discovery of predictive analysis consists of association rule mining, classification. Predictive analysis that is a method incorporating various techniques from data mining has been explained here. There are several research related to this field which are also discussed here. This research focuses on big data analytic techniques. Hadoop framework and health care based system are also discussed. The proposed work would be helpful in health care sector. |
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| Keywords | ||
| Big Data, Hadoop, Map Reduce, Health care, Predicate analysis. | ||
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