Enhancing Rheumatoid Arthritis Detection using Bio-Inspired Feature Selection of GOA Model with DBN Classification

Rheumatoid arthritis (RA) is a debilitating autoimmune disease where early and precise diagnosis is crucial for effective intervention. This study introduces an advanced GOAT Optimisation Algorithm (GOA) for feature selection combined with a Deep Belief Network (DBN) to significantly improve RA dete...

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Veröffentlicht in:	2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE) S. 1 - 8
Hauptverfasser:	L K, Jayashree, Kumar. J, Santosh
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.06.2025
Schlagworte:	Accuracy Arthritis autoimmune disease diagnosis Biological system modeling biomarker selection Biomarkers Classification algorithms deep belief network Feature extraction GOAT optimisation algorithm (GOA) intelligent healthcare Medical diagnostic imaging Optimization rheumatoid arthritis Sensitivity
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