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Artificial Intelligence och Intelligent Systems
AIM, Artificial Intelligence in Medical Applications
AI techniques have valuable benefits to offer medical systems. Techniques such as abstraction, conceptualization (of sensor data), Semantic Nets, Case-Based Reasoning (CBR), Clustering, and User Modeling have been used to develop theories and a system that is able to classify complex medical measurements from a person that may need preventive actions and treatment for stress problems.
Concluded
Start
2002-01-01
Conclusion
2006-01-31
Research group
Project manager at MDH
Professor
Peter Funk
+4621103153
peter.funk@mdh.se
Description of the project
AI techniques have valuable benefits to offer medical systems. Techniques such as abstraction, conceptualization (of sensor data), Semantic Nets, Case-Based Reasoning (CBR), Clustering, and User Modeling have been used to develop theories and a system that is able to classify complex medical measurements from a person that may need preventive actions and treatment for stress problems. The developed method and techniques are able to classify individual sensor data that can be used for a final classification of a person. Hearth rate variability, finger temperature, conductance, breathing and CO2 level are the measurements used in this clinical diagnosis process.
