An analysis of a multidimensional dataset of an epidemic study using soft computing tools - a pilot study

• Autorzy: Handri S. , Nomura S. , Irfan A. C.M. , Fukuda S. , Yamano E. , Watanabe Y.
• Języki publikacji: EN

Abstrakty

EN

Two contrasting approaches toward an epidemic study were illustrated as a pilot study; the regression analysis which is rather conventional methodology used in the past/present epidemic studies, and the other is the classifier analysis which is in the soft computing toolbox. The dataset we used for this study is obtained from a part of a cohort study which principally focused on a fatigue syndrome of the elementary and junior high school educates. In the classifier analysis we employed a major supervised machine-learning algorithm, K-Nearest Neighbour (K-NN), coupled with Principal Component Analysis (PCA). As a result, the performance that was found by cross validation method in the classifier analysis provides better results than that of the regression analysis. Finally we discussed the availability of both analyses with referring the technical and conceptual limitation of both approaches.

Słowa kluczowe

EN

epidemiology; logistic regression analysis; feature set selection; K-NN analysis

PL

epidemiologia; analiza regresji logistycznej

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2009
• Tom: Vol. 13
• Strony: 107--110
• Opis fizyczny: Bibliogr. 5 poz., rys., tab.

Twórcy

autor

Handri S.

• Nagaoka University of Technology,Top Runner Incubation Center for Academia-Industry Fusion, 1603-1 Kamitomioka, Nagaoka

autor

Nomura S.

autor

Irfan A. C.M.

autor

Fukuda S.

autor

Yamano E.

autor

Watanabe Y.

Bibliografia

• [1] TANAKA M., MIZUNO K., FUKUDA S., TAJIMA S., WATANABE Y., Personality traits associated with intrinsic academic motivation in medical students, Medical Education, Vol. 43, pp.384-387, 2009.
• [2] TANAKA M., MIZUNO K., FUKUDA S., SHIGIHARA Y., WATANABE Y., Relationship between dietary habits and the prevalence of fatigue in medical students, Nutrition, Vol. 24, pp.985-989, 2008.
• [3] MEIJER A.M., HABEKOTHÉ H.T., VAN DEN WITTENBOER G.L.H., Time in bed, quality of sleep and school functioning of children, J. Sleep Res., Vol. 9, pp.145-153, 2000.
• [4] CHALDER T., BERELOWITZ G., PAWLIKOWSKA T., WATTS L., WESSELY S., WRIGHT D., WALLACE E.P., Development of a fatigue scale. J. Psychosom. Res., Vol.37, pp.147-153, 1993.
• [5] DEMURA S., KOBAYASHI H., SATO S., NAGASAWA Y., Examination of validity of the subjective fatigue scale for young adults. Nippon Koshu Eisei Zasshi, Vol.48, pp.76-84, 2001. [Japanese]