Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Artificial Intelligence
Medical diagnosis using a probabilistic causal network
Applied Artificial Intelligence
Probabilistic similarity networks
Probabilistic similarity networks
Development of a knowledge base for diagnostic reasoning in cardiology
Computers and Biomedical Research
A comparison of logistic regression to decision-tree induction in a medical domain
Computers and Biomedical Research
HYDI: a hybrid system with feedback for diagnosing multiple disorders
HYDI: a hybrid system with feedback for diagnosing multiple disorders
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Machine Learning
CAUSAL REPRESENTATION OF PATIENT ILLNESS FOR ELECTROLYTE AND ACID-BASE DIAGNOSIS
CAUSAL REPRESENTATION OF PATIENT ILLNESS FOR ELECTROLYTE AND ACID-BASE DIAGNOSIS
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
A computational model for causal and diagnostic reasoning in inference systems
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
HUGIN: a shell for building Bayesian belief universes for expert systems
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Update rules for parameter estimation in Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
The design and implementation of a ventilator-management advisor
Artificial Intelligence in Medicine
Constrained abductive reasoning with fuzzy parameters in Bayesian networks
Computers and Operations Research
Identifying reasoning strategies in medical decision making: a methodological guide
Journal of Biomedical Informatics
A hybrid model for diagnosing multiple disorders
International Journal of Hybrid Intelligent Systems
Atrial fibrillation classification with artificial neural networks
Pattern Recognition
Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential
Journal of Medical Systems
Expert Systems with Applications: An International Journal
Diagnostic reasoning and medical decision-making with fuzzy influence diagrams
Computer Methods and Programs in Biomedicine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
MedCase: a template medical case store for case-based reasoning in medical decision support
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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The progress of medical informatics has been characterized by the development of a wide range of reasoning methods. These reasoning methods are based on organizing principles that make use of the various relations existing in medical domains: associations, probabilities, causality, functional relationships, temporal relations, locality, similarity, and clinical practice. Some, such as those based on associations and probabilities have been developed to the point where there are off-the-shelf tools available for the researcher to develop new decision support tools. Others such as temporal relations require more effort to use effectively. Even so, we have learned the importance of a separate explicit representation of the domain knowledge and have considerable experience and an impressive armamentarium with which to face the new milieu provided by the Internet.