Making the most of data in order to provide accurate clinical decision support systems for the use in the determination of heart disease

摘要

This paper provides a description of the results of investigations into the effect of the nature of ECG data, on the classification accuracy of patient state which a Clinical Decision Support System (DSS), based upon the data (knowledgebase), is able to provide. These results show that changes in classification accuracy of 40% can be achieved by changing both the size, and stratification bias, of the knowledgebase. The results suggest that use of a CDSS can be employed to aid an inexperienced physician in the classification of patients with heart disease as long as careful consideration is given to the size, and stratification bias, of the data comprising the knowledge base used to support the DSS.