Authors:
Irosh Fernando
1
;
Luke Nepia
2
;
Hoang Do
3
and
Edward Holmes
3
Affiliations:
1
Hunter New England Area Health, 72 Watt St, Newcastle, NSW, Australia
;
2
Faculty of Medicine and Health, University of New England, Elm Avenue, Armidale NSW 2351, Australia
;
3
School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Australia
Keyword(s):
Medical Expert Systems, Computer Algorithms for Medical Diagnosis, Select and Test (ST) Algorithm, Orthogonal Vector Projection Method, Algorithm for Diagnosing Chest Pain.
Abstract:
Diagnosing chest pain can be a challenging process with potential misdiagnoses causing significant morbidity and mortality, and the associated healthcare cost and burden. As a potential solution to increase the diagnostic accuracy and rule out non-life-threatening conditions, we have evaluated the method known as orthogonal vector projection which is a part of the Select and Test (ST) algorithm for medical diagnosis, as a pilot study. Using a knowledgebase consisting of 12 diagnoses and 43 clinical features, we have evaluated 47 clinical cases by comparing the diagnosis given by a senior clinician to the diagnosis arrived by the orthogonal vector projection method.