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Discovering diabetes complications: An ontology based model

journal contribution
posted on 2015-12-01, 00:00 authored by Tahani Daghistani, Riyad Al Shammari, Imran RazzakImran Razzak
Background: Diabetes is a serious disease that spread in the world dramatically. The diabetes patient has an average of risk to experience complications. Take advantage of recorded information to build ontology as information technology solution will help to predict patients who have average of risk level with certain complication. It is helpful to search and present patient's history regarding different risk factors. Discovering diabetes complications could be useful to prevent or delay the complications. Method: We designed ontology based model, using adult diabetes patients' data, to discover the rules of diabetes with its complications in disease to disease relationship. Result: Various rules between different risk factors of diabetes Patients and certain complications generated. Furthermore, new complications (diseases) might be discovered as new fi nding of this study, discovering diabetes complications could be useful to prevent or delay the complications. Conclusion: The system can identify the patients who are suffering from certain risk factors such as high body mass index (obesity) and starting controlling and maintaining plan.

History

Journal

Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva za Medicinsku Informatiku BiH

Volume

23

Issue

6

Pagination

385 - 392

Publisher

Academy of Health Sciences of Bosnia and Herzegovina

Location

Sarajevo, Bosnia & Herzegovina

ISSN

0353-8109

eISSN

1986-5988

Language

eng

Publication classification

C2.1 Other contribution to refereed journal

Copyright notice

2015, Tahani Daghistani, Riyad Al Shammari, Muhammad Imran Razzak

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