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This will allow such a classification to detect patients in whom renal function is mildly affected (high sensitivity for the detection of kidney malfunction but limited specificity for its presence) and patients in whom renal function is markedly affected (high specificity for true renal dysfunction but limited sensitivity in picking up early and subtler loss of function).
They used Fisher scores for adaptive feature selection, and SVM for feature classification to detect epileptic seizures.
Texture features are the intrinsic properties of image and provide an efficient image classification to detect subtle alterations in the gray level distribution of an image [27].
Finally, sensitivity and specificity of each classification to detect a non-cardiovascular cause was evaluated.
Doukas et al. describe an infrastructure for automated skin lesion classification to detect skin cancer in an early stage.
Sensitivity and specificity of gait assessment approach and intrinsic-extrinsic classification to detect a non-cardiovascular mediated fall was calculated with 95% confidence intervals (CI95%).
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Such systems use detection and classification algorithms to detect and distinguish the target calls from background noise and interfering sounds.
Neda et al. [23] proposed rule based classification algorithm to detect phishing URL.
The two detector sets are used in a proportion-based classification method to detect unknown instances.
The proposed segmentation with three level thresholding along with the features extracted can be incorporated to any suitable classification architecture to detect pulmonary nodules with better accuracy.
Next, we used vegetation ordination and classification methods to detect vegetation group types and their similarity level from forest inventory data collected at 75 sites.
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