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Adaptive Neuro-Fuzzy Inference Systems for Automatic Detection of Breast Cancer
Journal of Medical Systems, 2008This paper intends to an integrated view of implementing adaptive neuro-fuzzy inference system (ANFIS) for breast cancer detection. The Wisconsin breast cancer database contained records of patients with known diagnosis. The ANFIS classifiers learned how to differentiate a new case in the domain by given a training set of such records.
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An Adaptive Neuro-Fuzzy Inference System for Diagnosis of Aphasia
2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008Aphasia is a language disability that has several subdivisions such as Anomic, Broca, Global, and Wernicke. Some reasons such as dissension in description of aphasia and its symptoms, large number of test items which are not quite accurate, linguistic ambiguity and uncertainty as well as typical complexities of medical diagnosis cause accurate ...
Sepideh Fazeli +2 more
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Automatic diagnosis of diabetes using adaptive neuro‐fuzzy inference systems
Expert Systems, 2010Abstract: A new approach based on an adaptive neuro‐fuzzy inference system (ANFIS) is presented for diagnosis of diabetes diseases. The Pima Indians diabetes data set contains records of patients with known diagnosis. The ANFIS classifiers learn how to differentiate a new case in the domain by being given a training set of such records.
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Adaptive Neuro Fuzzy Inference System for Extraction of fECG
2005 Annual IEEE India Conference - Indicon, 2006Fetal ECG (IECG) monitoring enables accurate measurement of fetal cardiac performance including transient or permanent abnormalities of rhythm. Thie fetal signal obtained from the maternail abdomnen is mixed with much interference. The major source of this interference is maternal ECG (mECG).
C. Kezi Selva Vijila +2 more
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International Journal of Fuzzy System Applications, 2015
One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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Adaptive Neuro Fuzzy Inference System for Diagnosing Dengue Hemorrhagic Fever
2015Death of effect disease Dengue Hemorrhagic Fever (DHF) in Jakarta is high. To diagnosis patient of DHF, also render help immediately, and prevent death. Expert system can be used for the diagnosis of DHF. This research is conducted by the model system of Neuro-Fuzzy. One of them is ANFIS for conducting the diagnosis and medical procedure of DHF. Sample
Nilo Legowo +3 more
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Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022
Ruey L Cheu, Matthew Vechione
exaly
Ruey L Cheu, Matthew Vechione
exaly
Application of Adaptive Neuro-Fuzzy Inference System in Flammability Parameter Prediction
Polymers, 2020Qiang Xu +2 more
exaly