Methodology of Adaptation of Data Mining Methods for Medical Decision Support: Case Study
Source: Kaunas University of Technology
Data mining is a problem solving technique, which analyzes the data already stored in the data base. It is a process of discovering, classifying and finding patterns in data. The classification of data helps to make a decision in different types of problems. Machine Learning, Statistical and Neural Network algorithms are applied for efficient data mining. The problem is to find algorithms suitable to apply in order to discover relationships between data attributes and make predictions that could be useful for decision support. In addition, there are several well known medical data problems, such as incorrect and sparse information and temporal data. To deal with these problems there are supervised and unsupervised learning algorithms.