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Liver biopsy is considered as mandatory for the management of patients infected with the hepatitis C virus (HCV), particularly for staging of fibrosis degree. However, due to its invasive nature and limitations of sampling error, the tendency is to substitute the liver biopsy with non-invasive method. The objective of this study is to combine the serum biomarkers and histopathological findings to...
Breast cancer is the second leading cause of cancer deaths in women worldwide and occurs in nearly one out of eight women. Currently there are three techniques to diagnose breast cancer: mammography, FNA (Fine Needle Aspirate) and surgical biopsy. In this paper, we develop a system that can classify “Breast Cancer Disease” tumor using neural network with Feed-forward Backpropagation Algorithm to classify...
To establish the artificial neural network (ANN) model of auxiliary diagnosis of lung cancer combined with tumor markers and picture data collected by bronchofibroscope. The levels of serum carcinoembryonic antigen (CEA), neuron specific enolase (NSE), squamous cell carcinoma antigen (SCC-Ag) and cytokeratin 19 fragment (CYFRA21-1) were detected by enzyme linked immunosorbent assay (ELISA) in 55 lung...
In this paper we present an analysis of the importance of cost sensitive methodology in medical disease prediction. And a C5.0 based cost sensitive ensemble approach is presented to support improving the effectiveness and decreasing the misdiagnosis cost in the same time. The verification is conducted on the real cases from Changhai Hospital Renal Registered (CHRR) data which consists of 483 records,...
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