Classification and feature selection for biomedical and biological data using soft computing
Date of Issue2009
School of Electrical and Electronic Engineering
This dissertation mainly discusses feature selection and classification problems in the context of bio-medical data. Feature selection and classification are two important tasks in processing bio-medical data. For example, in disease diagnosis, finding the sub-groups of genes or symptoms that are specific to a particular disease is a feature selection problem. Once these sub-groups of genes or symptoms are found, diagnosing the disease which is a classification problem, will become easy. However, because most of the bio-medical data has large numbers of features, feature selection and classification are hence particularly challenging.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University