An efficient fuzzy logic-integrated hybrid deep learning framework for medical diagnosis

Medical diagnosis involves analyzing symptoms, test results, and patient histories, but uncertainty from vague symptoms and incomplete records complicates the process. Fuzzy logic-based systems address this issue but often depend on manual rule creation, which is time-consuming. This research propos...

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Autors principals:	R. Saranya, Manikandan Rajagopal, J. Ramprasath, K. ThamaraiSelvi, S. Leelavathy
Format:	Artigo
Idioma:	Inglês
Publicat:	Tsinghua University Press 2026-03-01
Col·lecció:	Fuzzy Information and Engineering
Matèries:	fuzzy logic decision support systems medical diagnosis deep learning adaptive neuro-fuzzy inference system (anfis) intelligent healthcare systems
Accés en línia:	https://www.sciopen.com/article/10.26599/FIE.2025.9270072
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