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ABSTRACT: This paper presents an ensemble of feature selection and classification technique for classifying two types of breast lesion, benign and malignant. Features are selected based on their area under the ROC curves (AUC) which are then classified using a hybrid hidden Markov model (HMM)-fuzzy approach. HMM generated log-likelihood values are used to generate minimized fuzzy rules which are further optimized using gradient descent algorithms in order to enhance classification performance. The developed model is applied to Wisconsin breast cancer dataset to test its performance. The results indicate that a combination of selected features and the HMM-fuzzy approach can classify effectively the lesion types using only two fuzzy rules. Our experimental results also indicate that the proposed model can produce better classification accuracy when compared to most other computational tools.
Computers in biology and medicine 02/2010; 40(3):240-51.
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ABSTRACT: In this article gentamicin (GM) impregnated microspheres were used to extend the drug release time for the treatment of chronic osteomyelitis. The granules were prepared in solution and consisted of nanohydroxyapatite (nHA), chitosan (CS) and GM loaded ethyl cellulose (EC) microspheres. A rabbit model with chronic osteomyelitis was made by using staphylococcus aureus and morrhuate sodium and special inspection methods were used to test the curative effects of the granules, such as microbiological investigations, tissue, and X-ray observations. The granules were provided with excellent drug release properties, 49 days in vitro and 45 days in vivo, moreover, they showed almost no cytotoxic for fibroblast and osteoblast. The findings indicated that the GM-impregnated CS/nHA/EC microspheres granules showed outstanding curative effect. Generally, it can be concluded that the granules containing GM impregnated microspheres may be used effectively in the treatment of the chronic osteomyelitis.
Journal of Biomedical Materials Research Part A 10/2009; 93(3):1020-31.
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International Journal for Numerical Methods in Engineering 01/1998; 41.
