Classification Tree Diagrams in Health Informatics Applications
This work is incremental, focusing on applying an existing method (classification tree diagrams) to health informatics for healthcare analysts.
The paper addresses the classification of medical data in health informatics by applying classification tree diagrams, which offer interactive visualization compared to other methods, but does not report specific results or numbers.
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.