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Modelling Stack Framework for Accessing Electronic Health Records with Big Data Needs
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 1 |
| Year of Publication: 2014 |
| Authors: Jyotsna Talreja Wassan |
10.5120/18487-9551
|
Jyotsna Talreja Wassan . Modelling Stack Framework for Accessing Electronic Health Records with Big Data Needs. International Journal of Computer Applications. 106, 1 ( November 2014), 37-45. DOI=10.5120/18487-9551
Abstract
In the recent years information technology has brought remarkable changes in various areas including health care services. The use of Electronic Health Records (EHRs) for maintaining and analyzing health care data online has set the clinical environment on the accelerating path of changes. These digitized health care records are form of Big Data, as they are voluminous, dynamic and heterogeneous. It is desirable to extract relevant information from EHRs and offer healthcare recommendations to novice users or various stakeholders of the clinical environment. In this paper, a sample modelling of general framework, based on extracting patterns and generating recommendations is reviewed for maintaining and accessing EHRs, which are form of Big Data. The main focus of the paper is to propose how data storage with Big Data stores and analytics with MapReduce paradigm, may be performed on simulated health data.
References
- Adrián, Gómez, et al. "MongoDB: An open source alternative for HL7-CDA clinical documents management. "
- Beutel, Jacob, et al. Handbook of Medical Imaging, Volume 3. Display and PACS. Washington, DC: SPIE Press, 2002.
- Burke, Robin. "Hybrid recommender systems: Survey and experiments. " User modeling and user-adapted interaction 12. 4 (2002): 331-370.
- Dean, Jeffrey, and Sanjay Ghemawat. "MapReduce: simplified data processing on large clusters. " Communications of the ACM 51. 1 (2008): 107-113.
- Duan, Lian, W. Nick Street, and E. Xu. "Healthcare information systems: data mining methods in the creation of a clinical recommender system. " Enterprise Information Systems 5. 2 (2011): 169-181.
- Ebadollahi, Shahram, et al. "Concept-based electronic health records: opportunities and challenges. " Proceedings of the 14th annual ACM international conference on Multimedia. ACM, 2006.
- Groves, Peter, et al. "The 'big data revolution in healthcare. " McKinsey Quarterly (2013).
- http://nosql-database. org/, Retrieved May 2014.
- http://www. mongodb. com/presentations/partner-webinar-electronic-health-records-ehrs-and-mongodb-advancing-data-platform
- Jan, J. "Medical Image Processing, Reconstruction and Restoration: Concepts and Methods. 2005. "
- Jensen, Peter B. , Lars J. Jensen, and Søren Brunak. "Mining electronic health records: towards better research applications and clinical care. " Nature Reviews Genetics 13. 6 (2012): 395-405.
- Koh, Hian Chye, and Gerald Tan. "Data mining applications in healthcare. "Journal of Healthcare Information Management—Vol 19. 2 (2011): 65
- Lee, Choon-oh, et al. "A framework for personalized Healthcare Service Recommendation. " e-health Networking, Applications and Services, 2008. HealthCom 2008. 10th International Conference on. IEEE, 2008.
- Lee, Ken Ka-Yin, Wai-Choi Tang, and Kup-Sze Choi. "Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage. " Computer methods and programs in biomedicine 110. 1 (2013): 99-109.
- Manyika, James, et al. "Big data: The next frontier for innovation, competition, and productivity. " (2011).
- McCrae, John, Anton Piatek, and Adam Langley. "Collaborative Filtering. "http:// www. imperialviolet. org (2004).
- Patra, Debkumar, et al. "Achieving e-health care in a distributed EHR system. "e-Health Networking, Applications and Services, 2009. Healthcom 2009. 11th International Conference on. IEEE, 2009.
- Personal health records Retrieved May 2014, from http://en. wikipedia. org/wiki/Personal_health_record
- Rajaraman, Anand, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2012.
- Ramakrishnan, Naren, David Hanauer, and Benjamin Keller. "Mining electronic health records. " Computer 43. 10 (2010): 77-81.
- Romero, Francisco P. , et al. "An Ontology-based Recommender System for Health Information Management. "
- Schafer, J. "The Application of Data-Mining to Recommender Systems. " Encyclopedia of data warehousing and mining 1 (2009): 44-48.
- Stewart, Robert J. , Phil W. Trinder, and Hans-Wolfgang Loidl. "Comparing high level mapreduce query languages. " Advanced Parallel Processing Technologies. Springer Berlin Heidelberg, 2011. 58-72.
- Strauch, Christof, Ultra-Large Scale Sites, and Walter Kriha. "NoSQL databases. " URL: http://www. christof-strauch. de/nosqldbs. pdf (???? ????????? 07. 11. 2012) (2011).
- Talreja, Jyotsna, et al. "Using Web Mining to Generate Recommendations: A Website Recommender. " IICAI. 2009.
- Wang, Fei, et al. "Large-scale multimodal mining for healthcare with mapreduce. " Proceedings of the 1st ACM International Health Informatics Symposium. ACM, 2010.
- Wasan, Siri Krishan, Vasudha Bhatnagar, and Harleen Kaur. "The impact of data mining techniques on medical diagnostics. " Data Science Journal 5. 19 (2006): 119-124.
- Yina, Wan. "Application of EHR in health care. " Multimedia and Information Technology (MMIT), 2010 Second International Conference on. Vol. 1. IEEE, 2010.
- 10gen, Inc: mongoDB. Retrieved May 2014, from http://www. mongodb. org.
- Zhao, Weizhong, Huifang Ma, and Qing He. "Parallel k-means clustering based on mapreduce. " In Cloud Computing, pp. 674-679. Springer Berlin Heidelberg, 2009.
- Marr, B. A Talk on Big Data- the 5 Vs Everyone must know (Feb. 2014).
- IBM Industry supporting Healthcare Information Retrieved 2014 from http://www01. ibm. com/software/data/bigdata/industry-healthcare. html
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