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A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining

10th Conference on Artificial Intelligence in Medicine, AIME2005 - Aberdeen, UK, 2005, p.434-443

2005

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Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach

Artificial Intelligence in Medicine, p.444-452

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Automatic Landmarking of Cephalograms by Cellular Neural Networks

Artificial Intelligence in Medicine, p.333-342

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Subgroup Mining for Interactive Knowledge Refinement

Artificial Intelligence in Medicine, p.453-462

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Oncology Ontology in the NCI Thesaurus

Artificial Intelligence in Medicine, p.213-220

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Testing Asbru Guidelines and Protocols for Neonatal Intensive Care

Artificial Intelligence in Medicine, p.101-110

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The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines

Artificial Intelligence in Medicine, p.166-170

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An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset

Artificial Intelligence in Medicine, p.524-534

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Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues

Artificial Intelligence in Medicine, p.151-155

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A New Approach to the Abstraction of Monitoring Data in Intensive Care

Artificial Intelligence in Medicine, p.13-22

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Learning Rules with Complex Temporal Patterns in Biomedical Domains

Artificial Intelligence in Medicine, p.23-32

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Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models

Artificial Intelligence in Medicine, p.514-523

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A Benchmark Evaluation of the French MeSH Indexers

Artificial Intelligence in Medicine, p.251-255

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Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks

Artificial Intelligence in Medicine, p.310-314

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Formalising Medical Quality Indicators to Improve Guidelines

Artificial Intelligence in Medicine, p.201-210

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Learning Rules from Multisource Data for Cardiac Monitoring

Artificial Intelligence in Medicine, p.484-493

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Smooth Integration of Decision Support into an Existing Electronic Patient Record

Artificial Intelligence in Medicine, p.89-93

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Ontology-Mediated Distributed Decision Support for Breast Cancer

Artificial Intelligence in Medicine, p.221-225

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Extending Temporal Databases to Deal with Telic/Atelic Medical Data

Artificial Intelligence in Medicine, p.58-66

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Improving Clinical Guideline Implementation Through Prototypical Design Patterns

Artificial Intelligence in Medicine, p.126-130

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Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System

Artificial Intelligence in Medicine, p.429-433

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Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines

Artificial Intelligence in Medicine, p.136-140

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Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support

Artificial Intelligence in Medicine, p.300-309

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Ontology of Time and Situoids in Medical Conceptual Modeling

Artificial Intelligence in Medicine, p.266-275

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Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines

Artificial Intelligence in Medicine, p.191-200

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A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining

Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach

Automatic Landmarking of Cephalograms by Cellular Neural Networks

Subgroup Mining for Interactive Knowledge Refinement

Oncology Ontology in the NCI Thesaurus

Testing Asbru Guidelines and Protocols for Neonatal Intensive Care

The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines

An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset

Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues

A New Approach to the Abstraction of Monitoring Data in Intensive Care

Learning Rules with Complex Temporal Patterns in Biomedical Domains

Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models

A Benchmark Evaluation of the French MeSH Indexers

Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks

Formalising Medical Quality Indicators to Improve Guidelines

Learning Rules from Multisource Data for Cardiac Monitoring

Smooth Integration of Decision Support into an Existing Electronic Patient Record

Ontology-Mediated Distributed Decision Support for Breast Cancer

Extending Temporal Databases to Deal with Telic/Atelic Medical Data

Improving Clinical Guideline Implementation Through Prototypical Design Patterns

Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System

Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines

Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support

Ontology of Time and Situoids in Medical Conceptual Modeling

Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines

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