The nature of statistical learning theory
The nature of statistical learning theory
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Rules in incomplete information systems
Information Sciences: an International Journal
Unsupervised Feature Selection Using Feature Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Neural Networks
An Introduction to Neural Networks
Hybrid Intelligent Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning
Machine Learning
Machine Learning
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Discovering attribute relationships, dependencies and rules by using rough sets
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Feature Selection for Clustering - A Filter Solution
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Radial Basis Functions
Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
An information granulation based data mining approach for classifying imbalanced data
Information Sciences: an International Journal
Knowledge and Information Systems
Incremental rule induction based on rough set theory
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Computers in Biology and Medicine
Energy conservation in wireless sensor networks: a rule-based approach
Knowledge and Information Systems - Special Issue on Data Warehousing and Knowledge Discovery from Sensors and Streams
Computers in Biology and Medicine
Rule induction for uncertain data
Knowledge and Information Systems
A general framework for designing a fuzzy rule-based classifier
Knowledge and Information Systems
Identifying the medical practice after total hip arthroplasty using an integrated hybrid approach
Computers in Biology and Medicine
A New Version of the Rule Induction System LERS
Fundamenta Informaticae
RFS: Efficient feature selection method based on R-value
Computers in Biology and Medicine
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Healthcare problems observed in the majority of end-stage renal disease (ESRD) patients regarding hemodialysis (HD) treatment are serious issues for the Taiwanese healthcare services, and an interesting topic is thus the adequacy of HD therapy. This study successfully models a hybrid procedure to measure HD adequacy to assess therapeutic effects and to explore the relationship between accuracy and coverage for interested parties. The proposed model has better accuracy, a lower standard deviation, and fewer attributes than the listed methods under various evaluation criteria. The study results are useful to subsequent researchers to develop suitable applications, and to ESRD patients and their doctors to ensure satisfactory medical quality.