Indian Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 17(31), P. 3174 - 3182
Published: Aug. 24, 2024
Objective: This study aims to identify and prioritize critical symptoms of pneumonia, determining their relative importance. Based on these findings, a decision rule base is developed enhance efficiency pneumonia diagnosis. Methods: A disease may concern with set symptoms, also same appear in different diseases. To make the diagnostic apparent, it advantageous assigning extra importance some symptoms. We applied reduction attributes indices rough theory characterize or core Thereafter, an algorithm has been proposed up assistant tools for medical Findings: The attribute, are calculated conditional namely respiratory rate (RR), cough level (CO), chest drawing (CI) temperature (T) concerned attribute (disease) pneumonia. findings reveal insights into identifying its degree likelihood Chest found list Also, Importance computed as 9/14 1/21, respectively. optimized assist process effectively. Novelty: research contributes presenting novel mathematical that identifies irrelevant disease. aids by redefining base. numerical computation provides practical visual tool assess potential outcomes technique. Applications: idea can experts better robust diagnostics when quantity increased linguistically expressed creates non-specificity type incompleteness. Keywords: Rough Set, Lower Upper Approximations, Indiscernibility Relation, Reduction Attribute, Medical Diagnosis
Language: Английский