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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...
The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers has prohibited an accurate prognosis. The aim of...
The diagnosis of Obstructive Sleep Apnea (OSA) in children presents a challenging diagnostic problem given the high prevalence (2-3%), the resource intensity of the overnight polysomnography investigation, and the realisation that OSA poses a serious threat to the healthy growth and development of children. Previous attempts to develop OSA diagnostic systems using home pulse oximetry studies have...
The derivation of molecular signatures indicative of disease status and behavior are required to facilitate the optimal choice of treatment for prostate cancer patients. We conducted a computational analysis of gene expression profile data obtained from 79 cases, 39 of which were classified as having disease recurrence, to investigate whether an advanced computational algorithm can derive more accurate...
The aim of the study was to develop a multiparameter prediction model of atrial fibrillation (AF) after coronary artery bypass grafting (CABG) based on measured P wave parameters. We recorded the standard II lead ECG for at least 48 hours after surgery in 48 patients. In contrast to previous research and in order to enable the analysis of more data we decided to record the ECG continuously. The ECGs...
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