All Outputs (3)

Practical approaches to mining of clinical datasets : from frameworks to novel feature selection (2014)
Thesis
Poolsawad, N. (2014). Practical approaches to mining of clinical datasets : from frameworks to novel feature selection. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4215841

Research has investigated clinical data that have embedded within them numerous complexities and uncertainties in the form of missing values, class imbalances and high dimensionality. The research in this thesis was motivated by these challenges to m... Read More about Practical approaches to mining of clinical datasets : from frameworks to novel feature selection.

Issues in the mining of heart failure datasets (2014)
Journal Article
Poolsawad, N., Moore, L., Kambhampati, C., & Cleland, J. G. (2014). Issues in the mining of heart failure datasets. International Journal of Automation and Computing, 11(2), 162-179. https://doi.org/10.1007/s11633-014-0778-5

This paper investigates the characteristics of a clinical dataset using a combination of feature selection and classification methods to handle missing values and understand the underlying statistical characteristics of a typical clinical dataset. Ty... Read More about Issues in the mining of heart failure datasets.

Use of a propositional rule learner for prognosis of mortality rates in heart failure patients (2014)
Journal Article
Bohacik, J., Kambhampati, C., Davis, D. N., & Cleland, J. G. F. (2014). Use of a propositional rule learner for prognosis of mortality rates in heart failure patients. Journal of information technologies, 7(1),