HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES: A SURVEY
暂无分享,去创建一个
[1] Sanjay Chakraborty,et al. Weather Forecasting using Incremental K-means Clustering , 2014, ArXiv.
[2] Hemlata Channe,et al. Comparative Study of K-NN , Naive Bayes and Decision Tree Classification Techniques , 2016 .
[3] Johan Holmgren,et al. Prediction of bicycle counter data using regression , 2017, EUSPN/ICTH.
[4] Alireza Souri,et al. A Data Mining Classification Approach for Behavioral Malware Detection , 2016, J. Comput. Networks Commun..
[5] David L. Olson,et al. Comparative analysis of data mining methods for bankruptcy prediction , 2012, Decis. Support Syst..
[6] Saudi Arabia,et al. Enhanced Associative classification based on incremental mining Algorithm (E-ACIM) , 2015 .
[7] Karim Keshavjee,et al. Performance Analysis of Data Mining Classification Techniques to Predict Diabetes , 2016 .
[8] R Analysis of feature Selection and Classification algorithms on Hepatitis Data , 2017 .
[9] Hajar Mousannif,et al. PERFORMANCE OF DATA MINING TECHNIQUES TO PREDICT IN HEALTHCARE CASE STUDY : CHRONIC KIDNEY FAILURE DISEASE , 2016 .
[10] Dursun Delen,et al. An analytic approach to better understanding and management of coronary surgeries , 2012, Decis. Support Syst..
[11] Min Chen,et al. Disease Prediction by Machine Learning Over Big Data From Healthcare Communities , 2017, IEEE Access.
[12] Sellappan Palaniappan,et al. Intelligent heart disease prediction system using data mining techniques , 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.
[13] T. Devi,et al. Development of a Data Clustering Algorithm for Predicting Heart , 2012 .
[14] Divya Tomar,et al. Clustering of lung cancer data using Foggy K-means , 2013, 2013 International Conference on Recent Trends in Information Technology (ICRTIT).