Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Marrega:2015:ieeeEMBC,

• author = "Luiz H. G. Marrega and Simone M. Silva and Elisangela F. Manffra and Julio C. Nievola",
• booktitle = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",
• title = "Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns",
• year = "2015",
• pages = "6820--6823",
• abstract = "Maintaining balance is a motor task of crucial importance for humans to perform their daily activities safely and independently. Studies in the field of Artificial Intelligence have considered different classification methods in order to distinguish healthy subjects from patients with certain motor disorders based on their postural strategies during the balance control. The main purpose of this paper is to compare the performance between Decision Tree (DT) and Genetic Programming (GP) - both classification methods of easy interpretation by health professionals - to distinguish postural sway patterns produced by healthy and stroke individuals based on 16 widely used posturographic variables. For this purpose, we used a posturographic dataset of time-series of centre-of-pressure displacements derived from 19 stroke patients and 19 healthy matched subjects in three quiet standing tasks of balance control. Then, DT and GP models were trained and tested under two different experiments where accuracy, sensitivity and specificity were adopted as performance metrics. The DT method has performed statistically significant (P <; 0.05) better in both cases, showing for example an accuracy of 72.8percent against 69.2percent from GP in the second experiment of this paper.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/EMBC.2015.7319960",
• ISSN = "1094-687X",
• month = aug,
• notes = "Also known as \cite{7319960}",

}

Genetic Programming entries for Luiz H G Marrega Simone M Silva Elisangela F Manffra Julio Cesar Nievola

Citations