Taxonomy Learning from Health Care Social Communities to Improve EHR Implementation

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Zahia Marouf 1,* Sidi Mohamed Benslimane 2

1. King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia

2. LabRI-SBA Laboratory, École Supérieure en Informatique, Sidi Bel Abbes, Algeria

* Corresponding author.


Received: 12 Feb. 2018 / Revised: 12 Mar. 2018 / Accepted: 26 Apr. 2018 / Published: 8 Jun. 2018

Index Terms

Social networking sites, Ontologies, HER


In this paper, we propose an approach to extract ontological structures from datasets generated by health care users of social networking sites. The objective of this approach is to exploit the user generated implicit semantics as a complement to more formalized knowledge representations. We aim for this latter to leverage the adoption level of the Electronic Health Record systems that are complaining from the shortage in standards and controlled vocabularies.

Cite This Paper

Zahia Marouf, Sidi Mohamed Benslimane, " Taxonomy Learning from Health Care Social Communities to Improve EHR Implementation", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.6, pp. 47-52, 2018. DOI:10.5815/ijmecs.2018.06.06


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