Title :
Qualitative measurement interpretation using quantity spaces
Author_Institution :
Hewlett-Packard Labs., Bristol, UK
Abstract :
A description is given of an algorithm for qualitative measurement interpretation which use the quantity spaces generated by the envisionment process to interpret numerical data taken across time. The algorithm is domain-independent, An extended example of the application of the algorithm is presented, based on the interpretation of blood glucose data using an envisionment generated form a model of the physiology of human glucose regulation
Keywords :
artificial intelligence; blood; medical computing; physiology; artificial intelligence; blood glucose data; domain-independent; human glucose regulation; medical computing; physiology; qualitative measurement interpretation; quantity spaces; Blood; Chemical sensors; Extraterrestrial measurements; Humans; Laboratories; Liver; Physiology; Signal generators; Sugar; Time measurement;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196134
