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The article presents a study that describes the specialized compression algorithm EDLZW for efficient electrocardiograph data transmission. Topics include medical information system, wireless communication, compression ratio, system architecture of ECG monitoring system, medical data, and health data.

Eye disease is a major health problem among the elderly people. Cataract and corneal arcus are the major abnormalities that exist in the anterior segment eye region of aged people. Hence, computer-aided diagnosis of anterior segment eye abnormalities will be helpful for mass screening and grading in ophthalmology. In this paper, we propose a multiclass computer-aided diagnosis (CAD) system using visible wavelength (VW) eye images to diagnose anterior segment eye abnormalities. In the proposed method, the input VW eye images are pre-processed for specular reflection removal and the iris circle region is segmented using a circular Hough Transform (CHT)-based approach. The first-order statistical features and wavelet-based features are extracted from the segmented iris circle and used for classification. The Support Vector Machine (SVM) by Sequential Minimal Optimization (SMO) algorithm was used for the classification. In experiments, we used 228 VW eye images that belong to three different classes of anterior segment eye abnormalities. The proposed method achieved a predictive accuracy of 96.96% with 97% sensitivity and 99% specificity. The experimental results show that the proposed method has significant potential for use in clinical applications. [ABSTRACT FROM AUTHOR]

The article presents a methodology for the development of a Bayesian classifier for the diagnosis of common dental diseases using a set of 14 pain parameters. Also cited are the naïve Bayesian classifier (NBC), the Learned Bayes' classifier (LBC), as well as some dental diseases like acute pulpitis, Apical periodontitis, and chronic pulpitis.

The article discusses the feasible use of the Artificial Immune Recognition System (AIRS) proposed by Andrew Watkins in assisting doctors with the prediction of the probability of type 2 diabetes in pregnant women. Topics discussed include the statistics from the World Health Organization (WHO) as well as the American Diabetes Association (ADA) on the number of people afflicted with diabetes as in diabetes mellitus, the support vector machines (SVM), and the vertebrae immune system.