A Research and Application Based on Gradient Boosting Decision Tree
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Gansen Zhao | Xutian Zhuang | Xinming Wang | Ruihua Nie | Yun Xi | Gansen Zhao | Ruihua Nie | Xinming Wang | Xutian Zhuang | Yun Xi
[1] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[2] Shichao Zhang,et al. The Journal of Systems and Software , 2012 .
[3] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[4] Tom Solomon,et al. Virology, epidemiology, pathogenesis, and control of enterovirus 71. , 2010, The Lancet. Infectious diseases.
[5] Xiaomei Ma,et al. Application and Comparison of Laboratory Parameters for Forecasting Severe Hand-Foot-Mouth Disease Using Logistic Regression, Discriminant Analysis and Decision Tree. , 2016, Clinical laboratory.
[6] Jing Liu,et al. Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children , 2017, Scientific Reports.
[7] Kenny Q. Zhu,et al. Data-Driven Information Extraction from Chinese Electronic Medical Records , 2015, PloS one.
[8] Guozhang Xu,et al. A case–control study of risk factors for severe hand–foot–mouth disease among children in Ningbo, China, 2010–2011 , 2012, European Journal of Pediatrics.
[9] Cécile Viboud,et al. Hand, foot, and mouth disease in China, 2008-12: an epidemiological study. , 2014, The Lancet. Infectious diseases.
[10] Guang-Zhong Yang,et al. Deep Learning for Health Informatics , 2017, IEEE Journal of Biomedical and Health Informatics.
[11] Kow-Tong Chen,et al. Epidemiologic Features of Hand-Foot-Mouth Disease and Herpangina Caused by Enterovirus 71 in Taiwan, 1998–2005 , 2007, Pediatrics.