Start Submission Become a Reviewer

Reading: A prototype medical decision support system that utilizes 'sensitivity' and 'specificity' of...

Download

A- A+
dyslexia friendly

Original Articles

A prototype medical decision support system that utilizes 'sensitivity' and 'specificity' of a clinical feature for diagnosis: a novel approach

Authors:

G. M. M. M. A. Senaviratne,

LK
About G. M. M. M. A.
Lecturer
X close

N. K. P. K. Nanayakkara,

LK
About N. K. P. K.
Research Assistant
X close

K. Walgama,

University of Peradeniya, LK
About K.
Professor Department of Computer Engineering, Faculty of Engineering
X close

A. B. Yatawatte,

LK
About A. B.
Lecturer
X close

G. D. A. Goonasekera

University of Peradeniya, LK
About G. D. A.
Senior Lecturer Department of Anesthesiology, Faculty of Medicine
X close

Abstract

A prototype computer based decision support system was developed to simulate a doctors' decision making process using a relational database consisting 25 clinical features and 10 common diseases encountered in critical care. The relationship between diseases and clinical features was cited by a sensitivity and a specificity value for each clinical feature. A clinical expert arbitrarily determined the sensitivity and specificity values. The cumulative probability values of each disease in relation to presenting clinical features were calculated using simple decision algorithm with ranked values to determine the most probable diagnosis. The database was built using Microsoft Access and the interfaces in Visual Basic environment.

 

In the program the output window provides the user with 5 most likely diagnoses with a display of ranked probability values. This differential diagnosis can be refined repetitively using new information. The system was validated using data from 26 patients admitted to a regional intensive care unit. The prototype decision support system was able to predict the true diagnosis with a sensitivity value of 88% as rank 1 and 96% as both rank 1 or 2. Thus results show that this novel approach of decision support could be more reliable to assist a doctor.
How to Cite: Senaviratne, G.M.M.M.A. et al., (2004). A prototype medical decision support system that utilizes 'sensitivity' and 'specificity' of a clinical feature for diagnosis: a novel approach. Ceylon Journal of Medical Science. 47(2), pp.51–58. DOI: http://doi.org/10.4038/cjms.v47i2.4843
Published on 27 Dec 2004.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus