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Using reduced rule base with Expert System for the diagnosis of disease in hypertension

Fatih Başçiftçi1, Ayşe Eldem

  • 1Electronics and Computer Education, Technical Education Faculty, Selcuk University, Konya, Turkey.

Medical & Biological Engineering & Computing
|September 18, 2013
PubMed

Insights

A new Medical Expert System (MES) procedure effectively diagnoses hypertension by simplifying symptom evaluation. This approach achieved a 97.6% success rate, improving upon traditional methods for this widespread condition.

Area of Science:

  • Medical Informatics
  • Cardiology
  • Public Health

Background:

  • Hypertension, a global health threat affecting over a billion people, is often asymptomatic, earning it the
  • Silent Killer
  • moniker.
  • In Turkey, hypertension impacts more than 15 million individuals, highlighting the need for efficient diagnostic tools.

Purpose of the Study:

  • To develop and evaluate a novel Medical Expert System (MES) procedure for hypertension diagnosis.
  • To reduce the complexity of hypertension diagnosis by simplifying the rule base within the MES.
  • To assess the diagnostic accuracy of the simplified MES procedure.

Main Methods:

  • A new Medical Expert System (MES) procedure was designed to diagnose hypertension.
  • The system utilizes a reduced rule base, achieved through two-level simplification of Boolean functions.
  • This method simplifies the evaluation of 7 hypertension symptoms, reducing the number of assessable conditions from 128 to a more manageable set.

Main Results:

  • The developed MES procedure demonstrated an average success rate of 97.6% in diagnosing hypertension.
  • The simplified rule base significantly reduced the number of conditions to be evaluated compared to a system assessing all 128 possible symptom combinations.
  • The new procedure offers a more efficient method for hypertension detection.

Conclusions:

  • The simplified Medical Expert System (MES) procedure provides an accurate and efficient tool for hypertension diagnosis.
  • This approach offers a practical solution for managing hypertension, a critical public health concern.
  • Further implementation of this system could improve early detection and management of hypertension globally.

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