id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_yugouyrzlvhj3bcnaeeh7bhj34	Shahan Siddiqui	Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System	2018	16	.pdf	application/pdf	5087	677	64	the detection of arthritis using an adaptive hierarchical Mamdani fuzzy expert system (DA-AH-MFES). are rest pain, morning stiffness, body pain, joint infection, swelling, redness, past injury and age that detects output fuzzy inference system model to diagnosis arthritis based and medical parameters rheumatoid Factor (RF) and anticyclic citrullinated peptide antibody (ANTI-CCP). variables age, morning-stiffness, body-pain, jointinfection, rest-pain, redness, swelling, past-injury and in proposed automated Diagnosis Arthritis using mamdani inference based expert system can be expressed in mathematically Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System	./cache/work_yugouyrzlvhj3bcnaeeh7bhj34.pdf	./txt/work_yugouyrzlvhj3bcnaeeh7bhj34.txt