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Therefore we have shown that it is possible to reach near expert level performance of
a decision support system based on CBR for diagnosing stress. It is crucial to under-
stand what features an expert uses to see similarity between subjects. The develop-
ment of the approach has also lead to experts more clearly seeing what features they
use for classification which may lead to a standard procedure for diagnosis in the
future. This also provides important information to the clinician to make a decision
about individual treatment plans.
The CBR system with rather simple and intelligent analysis of sensor signals, al-
lows the use of finger temperature measurements in an autonomous system. This
enables the treatment of individuals to be carried out at home or in the work environ-
ment. This system can be valuable for decision support for non-experts or as a second
opinion for experts in stress management.
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