Abstract
Heart disease ranks second in Taiwan’s top ten cause of death in 2016 and the number of deaths in heart disease increases by about 700 people each year. Left ventricular hypertrophy (LVH) has a significant impact on increasing the morbidity of coronary disease and stroke. Therefore, how to improve the accuracy of heart disease diagnosis is urgent. This study suggests a better method that used K-Nearest Neighbor (KNN) to impute missing values of ECG data and Z-score to standardize ECG data for the requirement of the random forest. This study combined the random forest and ECG data to develop an ECG left ventricular hypertrophy classifier. The experimental results show that the accuracy of the prediction model is 66.1%, the sensitivity is 58%, and the specificity is 70.9%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Taiwan national death cause statistics in 2016
Altman, N.S.: An introduction to kernel and nearest-neighbor nonparametric regression. Am. Stat. 46(3), 175–185 (1992)
Dangare, C.S., Apte, S.S.: Improved study of heart disease prediction system using data mining classification techniques. Int. J. Comput. Appl. 47(10), 44–48 (2012)
Devereux, R.B., Alonso, D.R., Lutas, E.M., Gottlieb, G.J., Campo, E., Sachs, I., Reichek, N.: Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. Am. J. Cardiol. 57(6), 450–458 (1986)
Dietterich, T.G.: Ensemble learning. In: The Handbook of Brain Theory and Neural Networks, vol. 2, pp. 110–125 (2002)
Janos, A., Steinbrunn, W.: Heart disease data set
Kannel, W.B.: Left ventricular hypertrophy as a risk factor: the Framingham experience. J. Hypertens. Suppl. Official J. Int. Soc. Hypertens. 9(2), S3–8 (1991). Discussion S8–9
Klabunde, R.E.: Electrocardiogram graph
Liaw, A., Wiener, M.: Classification and regression by randomforest. R News 2(3), 18–22 (2002)
Mosteller, R.D.: Simplified calculation of body-surface area. New Engl. J. Med. 317(17), 1098 (1987)
UC Irvine Machine Learning Repository: Statlog (heart) data set
Schiffrin, E.L., Pu, Q., Park, J.B.: Effect of amlodipine compared to atenolol on small arteries of previously untreated essential hypertensive patients. Am. J. Hypertens. 15(2), 105–110 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wu, J.MT., Tsai, MH., Xiao, SH., Wu, TY. (2019). Construct Left Ventricular Hypertrophy Prediction Model Based on Random Forest. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-03745-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-03745-1_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03744-4
Online ISBN: 978-3-030-03745-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)