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Paper describes some aspects of data processing in mobile heart monitoring systems. Authors highlight an important cardiological and social problem of arrhythmic pathologies of the heart and the possibilities of new medical equipment to detect the arrythmia. The architecture and the features of up-to-date monitoring systems are investigated. The specificity of long term ECG records is examined via...
The prognosis of mode of delivery is considered to be one of the most important steps in identifying the procedure and possible complications that might occur during the delivery process. Current practices for predicting mode of delivery relies totally on the opinion of the physician in charge. Data mining is a promising yet effective modern set of techniques that extract hidden information in order...
This paper deals with a smart algorithm allowing reversed polarity fault diagnosis and prognosis in PV generators. The proposed prognosis (prediction) approach is based on the hybridization of a support vector regression (SVR) technique optimized by a k-NN regression tool (K-NNR) for undetermined outputs. To test the proposed algorithm performance, a PV generator database containing sample data is...
Classification and prediction are effective tools in anomaly and fault detection. They can be used in development of a continuous learning prediction method. Inaccurate classification will result in either too many or too few anomalies or under- and over-diagnosis. The confidence of prediction relies on the accurate determination of class centers and borders based on the adequate training data. This...
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...
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