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Developing Effective Community Network Analysis Tools According to Visualization Psychology
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Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
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Challenges and Opportunities of Big Data in Healthcare Mobile Applications
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RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
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Classification Tree Diagrams in Health Informatics Applications
Health informatics deal with the methods used to optimize the acquisition, storage and retrieval of medical data, and classify information in healthcare applications. Healthcare analysts are particularly interested in various computer informatics areas such as; knowledge representation from data, anomaly detection, outbreak detection methods and syndromic surveillance applications. Although various parametric and non-parametric approaches are being proposed to classify information from data, classification tree diagrams provide an interactive visualization to analysts as compared to other methods. In this work we discuss application of classification tree diagrams to classify information from medical data in healthcare applications.
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