Predicting disease risks from highly imbalanced data using random forest
暂无分享,去创建一个
Mohammad Khalilia | Mihail Popescu | Sounak Chakraborty | M. Popescu | S. Chakraborty | Mohammad Khalilia
[1] B. Yawn,et al. Identifying Persons with Diabetes Using Medicare Claims Data , 1999, American journal of medical quality : the official journal of the American College of Medical Quality.
[2] Glen T. Cameron,et al. Cancer Coverage in General-Audience and Black Newspapers , 2008, Health communication.
[3] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[4] John Mingers,et al. An Empirical Comparison of Selection Measures for Decision-Tree Induction , 1989, Machine Learning.
[5] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[6] Feng Zeng,et al. A Comparative Study of Ensemble Learning Approaches in the Classification of Breast Cancer Metastasis , 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.
[7] Darcy A. Davis,et al. Predicting individual disease risk based on medical history , 2008, CIKM '08.
[8] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[9] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[10] Mirella Lapata,et al. Proceedings of the National Conference on Artificial Intelligence , 2011 .
[11] Ashutosh Kumar Singh,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2010 .
[12] Yi Tan,et al. The application of machine learning algorithm in underwriting process , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[13] Chao Chen,et al. Using Random Forest to Learn Imbalanced Data , 2004 .
[14] Huan Liu,et al. Predicting Future High-Cost Patients: A Real-World Risk Modeling Application , 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).
[15] Robert C. Glen,et al. Random Forest Models To Predict Aqueous Solubility , 2007, J. Chem. Inf. Model..
[16] Hans C. van Houwelingen,et al. The Elements of Statistical Learning, Data Mining, Inference, and Prediction. Trevor Hastie, Robert Tibshirani and Jerome Friedman, Springer, New York, 2001. No. of pages: xvi+533. ISBN 0‐387‐95284‐5 , 2004 .
[17] Foster Provost,et al. Machine Learning from Imbalanced Data Sets 101 , 2008 .
[18] George C. Anastassopoulos,et al. Medical disease prediction using Artificial Neural Networks , 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.
[19] Man Lung Yiu,et al. Group-by skyline query processing in relational engines , 2009, CIKM.
[20] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[21] J. Ross Quinlan,et al. Bagging, Boosting, and C4.5 , 1996, AAAI/IAAI, Vol. 1.
[22] JapkowiczNathalie,et al. The class imbalance problem: A systematic study , 2002 .
[23] Bjoern H. Menze,et al. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data , 2009, BMC Bioinformatics.
[24] James M. Keller,et al. A smart home application to eldercare: current status and lessons learned. , 2009, Technology and health care : official journal of the European Society for Engineering and Medicine.
[25] Muin J. Khoury,et al. Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes , 2010, BMC Medical Informatics Decis. Mak..