C4.5: programs for machine learning
C4.5: programs for machine learning
Variable precision rough set model
Journal of Computer and System Sciences
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Information Sciences: an International Journal
Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification
Information Sciences: an International Journal
A fuzzy logic-based computational recognition-primed decision model
Information Sciences: an International Journal
A weighted rough set based method developed for class imbalance learning
Information Sciences: an International Journal
Rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
Mining Causal Knowledge from Diagnostic Knowledge
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Review: Dimensionality reduction based on rough set theory: A review
Applied Soft Computing
A comparative study on rough set based class imbalance learning
Knowledge-Based Systems
An Interface for Medical Diagnosis Support
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Contingency matrix theory: Statistical dependence in a contingency table
Information Sciences: an International Journal
Feature selection for medical dataset using rough set theory
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Information Sciences: an International Journal
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
Fundamenta Informaticae - Fundamentals of Knowledge Technology
An interface for medical diagnosis support: from the viewpoint of chance discovery
International Journal of Advanced Intelligence Paradigms
Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Fuzzy preference based rough sets
Information Sciences: an International Journal
Data mining of multi-categorized data
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Integrating rough set and genetic algorithm for negative rule extraction
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Information Sciences: an International Journal
Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Categorized and integrated data mining of medical data from the viewpoint of chance discovery
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Rough set analysis on call center metrics
Applied Soft Computing
Unauthorized inferences in semistructured databases
Information Sciences: an International Journal
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Topological characterizations of covering for special covering-based upper approximation operators
Information Sciences: an International Journal
Redactable Signatures for Signed CDA Documents
Journal of Medical Systems
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
Fundamenta Informaticae - Fundamentals of Knowledge Technology
A Secure Integrated Medical Information System
Journal of Medical Systems
Information Sciences: an International Journal
Sublinear algorithms for penalized logistic regression in massive datasets
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
International Journal of Software Science and Computational Intelligence
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Quick attribute reduction in inconsistent decision tables
Information Sciences: an International Journal
Two machine-learning techniques for mining solutions of the ReleasePlannerTM decision support system
Information Sciences: an International Journal
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
Hi-index | 0.01 |
Since rule induction methods generate rules whose lengths are the shortest for discrimination between given classes, they tend to generate rules too short for medical experts. Thus, these rules are difficult for the experts to interpret from the viewpoint of domain knowledge. In this paper, the characteristics of experts' rules are closely examined and a new approach to generate diagnostic rules is introduced. The proposed method focuses on the hierarchical structure of differential diagnosis and consists of the following three procedures. First, the characterization of decision attributes (given classes) is extracted from databases and the classes are classified into several generalized groups with respect to the characterization. Then, two kinds of sub-rules, classification rules for each generalized group and rules for each class within each group are induced. Finally, those two parts are integrated into one rule for each decision attribute. The proposed method was evaluated on a medical database, the experimental results of which show that induced rules correctly represent experts' decision processes.