Abstract
An Enhanced Concept based Approach for user Centered Health Information Retrieval to Address Readability Issues
Highlights
Health information retrieval has become one of the most performed tasks on the internet today [10, 16]
This study focused on designing an enhanced model for clinical consumers balanced based medical information retrievals and proposed an improved system model that would provide simpler medical meanings for every clinical grammer(s) established on a clinical released documents and clinical search results online
We evaluated and compared the enhanced model with the current models in the clinical domain, namely, QLM (“Query Likelihood Model”), LSI (“Latent Semantic Indexing”) and CBA (“Concept Based Approach”) using Medical Subject Heading (MeSH), Metamap and Unified Medical Language System (UMLS) databases
Summary
Health information retrieval has become one of the most performed tasks on the internet today [10, 16]. Re-counted merits of users involvement in user centered www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 10, No 3, 2019 health information systems designs include the design of enhanced information retrieval systems that would better address the apprehension problem faced by laymen patients and their care givers in discovering information mined from their displayed search results online [31, 8]. The core objective of this research study is to propose an improved system model and to design an enhanced approach using the concept based approach that would better address the apprehension problem faced by laymen patients and their care givers in discovering information mined from their displayed search results online.
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