Computer-aided diagnosis expert system for cerebrovascular diseases

Abstract

Objective:

To establish an expert diagnosis system for cerebrovascular diseases (CVDs) and assess accuracy of the diagnosis system.

Methods:

An expert diagnosis system for CVDs was established and evaluated using actual clinical cases.

Results:

An expert diagnosis system for CVDs was established and tested in 319 clinical patients. Diagnosis accordance was obtained in 307 patients (the diagnosis accordance rate was 96·2%). Involved were 223, 7, 23, 54 and 12 patients with cerebral thrombosis, cerebral embolism, transient ischemic attack, cerebral hemorrhage and subarachnoid hemorrhage, respectively; and diagnosis accordance was obtained in 219 (98·2%), 6 (85·7%), 23 (100%), 48 (88·9%) and 11 (91·7%), respectively.

Conclusion:

Overall, the case analysis results support and demonstrate the diagnostic reasoning accuracy of the expert diagnosis system for CVDs. With the expert diagnosis system, medical experts’ diagnosis of CVDs can be effectively mimicked and auxiliary diagnosis of CVDs has been preliminarily realized, laying a foundation for increasing the diagnostic accuracy of clinical diagnoses as it pertains to CVDs.

Keywords:

• Cerebrovascular diseases
• Diagnosis
• Computer
• Expert system