A Cloud Framework Design for A Disease Symptom Self-inspection Service

Lu Yan and Ding Xiong
Additional contact information
Lu Yan: School of Information and Mechanical Engineering, Hunan International Economics University, Changsha, China
Ding Xiong: School of Information and Mechanical Engineering, Hunan International Economics University, Changsha, China

Information Resources Management Journal (IRMJ), 2020, vol. 33, issue 2, 1-18

Abstract: The establishment of a symptom self-inspection service faces will face many challenges related to how to best acquire, store, and analyze the available data. In view of the problems, a cloud framework symptom self-inspection service model is proposed in this article. A Hadoop cluster is set up to store massive medical data and provide indexing so as to produce acceptable electronic medical record search response times. A cluster of the distributed search nodes based on Lucene can be used for real-time retrieval, data analysis, and privacy filtering from a massive collection of electronic medical records. The implementation of symptom check-up services is discussed, including the selection of search nodes, the establishment of medical records index files, the ranking and sorting of medical records similarity. Experimental results demonstrate that our proposed cloud framework model serves as a scalable and effective self-inspection health symptom service.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/IRMJ.2020040101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:rmj000:v:33:y:2020:i:2:p:1-18

Access Statistics for this article

Information Resources Management Journal (IRMJ) is currently edited by George Kelley

More articles in Information Resources Management Journal (IRMJ) from IGI Global
Bibliographic data for series maintained by Journal Editor ().