AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Decision Support Techniques

Showing 301 to 310 of 419 articles

Clear Filters

Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective.

Artificial intelligence in medicine
BACKGROUND: The initial version of the Arden Syntax for Medical Logic Systems was created to facilitate explicit representation of medical logic in a form that could be easily composed and interpreted by clinical experts in order to facilitate clinic...

Using Machine Learning to Predict Laboratory Test Results.

American journal of clinical pathology
OBJECTIVES: While clinical laboratories report most test results as individual numbers, findings, or observations, clinical diagnosis usually relies on the results of multiple tests. Clinical decision support that integrates multiple elements of labo...

An ontology-driven, case-based clinical decision support model for removable partial denture design.

Scientific reports
We present the initial work toward developing a clinical decision support model for specific design of removable partial dentures (RPDs) in dentistry. We developed an ontological paradigm to represent knowledge of a patient's oral conditions and dent...

The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...

A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis.

Artificial intelligence in medicine
OBJECTIVE: Recently, fuzzy soft sets-based decision making has attracted more and more interest. Although plenty of works have been done, they cannot provide the uncertainty or certainty of their results. To manage uncertainty is one of the most impo...

An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness.

PloS one
The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This...

Transitive closure of subsumption and causal relations in a large ontology of radiological diagnosis.

Journal of biomedical informatics
The Radiology Gamuts Ontology (RGO)-an ontology of diseases, interventions, and imaging findings-was developed to aid in decision support, education, and translational research in diagnostic radiology. The ontology defines a subsumption (is_a) relati...

A Multiobjective Approach to Homography Estimation.

Computational intelligence and neuroscience
In several machine vision problems, a relevant issue is the estimation of homographies between two different perspectives that hold an extensive set of abnormal data. A method to find such estimation is the random sampling consensus (RANSAC); in this...