WASET
	%0 Journal Article
	%A Guilherme Ribeiro and  Alexandre Oliveira and  Antonio Ferreira and  Shyam Visweswaran and  Gregory Cooper
	%D 2016
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 109, 2016
	%T Patient-Specific Modeling Algorithm for Medical Data Based on AUC
	%U https://publications.waset.org/pdf/10003391
	%V 109
	%X Patient-specific models are instance-based learning
algorithms that take advantage of the particular features of the patient
case at hand to predict an outcome. We introduce two patient-specific
algorithms based on decision tree paradigm that use AUC as a
metric to select an attribute. We apply the patient specific algorithms
to predict outcomes in several datasets, including medical datasets.
Compared to the patient-specific decision path (PSDP) entropy-based
and CART methods, the AUC-based patient-specific decision path
models performed equivalently on area under the ROC curve (AUC).
Our results provide support for patient-specific methods being a
promising approach for making clinical predictions.
	%P 105 - 110