Weighted Minkowski Similarity Method with CBR for Diagnosing Cardiovascular Disease
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 12
Abstract
This study implements Case-Based Reasoning (CBR) to make the early diagnosis of cardiovascular disease based on the calculation of the feature similarity of old cases. The features used to match old cases with new ones were age, gender, risk factors and symptoms. The diagnostic process was carried out by entering the case feature into the system, and then the system searched cases having similar features with the new case (retrieve). The level of similarity of each similar case was calculated using weighted Minkowski method. Cases with the highest level of similarity would be adopted as new case solutions. If the value of similarity was <0,8, the revision would be conducted by an expert. The tests result conducted by the expert showed that the system was able to perform the diagnosis correctly. The test results are performed on the sensitivity of 100% and specificity of 83,33%. Meanwhile, the accuracy of 95,83% and the error rate of 4,17% is so that this research is relevant enough to be implemented in the medical area.
Authors and Affiliations
Edi Faizal, Hamdani Hamdani
Keywords
Related Articles
- EP ID EP429193
- DOI 10.14569/IJACSA.2018.091244
- Views 110
- Downloads 0
Ontology-Based Clinical Decision Support System for Predicting High-Risk Pregnant Woman
According to Pakistan Medical and Dental Council (PMDC), Pakistan is facing a shortage of approximately 182,000 medical doctors. Due to the shortage of doctors; a large number of lives are in danger especially pregnant w...
Impact of Story Point Estimation on Product using Metrics in Scrum Development Process
Agile Software Development techniques are worldwide accepted, regardless of the definition of agile we all must agree with the fact that agile is maturing day by day, suppliers of software systems are moving away from tr...
BLOT: A Novel Phase Privacy Preserving Framework for Location-Based Services
The inherent challenge within the domain of location-based services is finding a delicate balance between user privacy and the efficiency of answering queries. Inevitably, security issues can and will arise as the server...
An efficient user scheduling scheme for downlink Multiuser MIMO-OFDM systems with Block Diagonalization
The combination of multiuser multiple-input multiple-output (MU-MIMO) technology with orthogonal frequency division multiplexing (OFDM) is an attractive solution for next generation of wireless local area networks (WLANs...
Developing Disease Classification System based on Keyword Extraction and Supervised Learning
The Evidence-Based Medicine (EBM) is emerged as the helpful practice for medical practitioners to make decisions with available shreds of evidence along with their professional ex-pertise. In EBM, the medical practitione...