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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

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.

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