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A Data Fusion Model to Evaluate Computerized Pain Diaries on Anxiety and Depression Assessment

Pombo, N. ; Garcia, N. M.

A Data Fusion Model to Evaluate Computerized Pain Diaries on Anxiety and Depression Assessment , Proc IEEE BlackSea Conference on Communications and Networking, Varna, Bulgaria, Vol. 0, pp. 0 - 0, June, 2016.

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Abstract
As self-reporting of pain complaints is considered
the most accurate assessment method, the evaluation of the
adopted technology on it, raises several challenges. In addition,
as pain could be assessed based on different dimensions such as
pain intensity, symptoms of anxiety, catasthrophizing, and
depression, then are promising new methods to evaluate the
effect of the adoption of this technology. In this paper, a case
study based on a data fusion model using a quantitative
combined with qualitative assessment aims the evaluation of
electronic pain diaries on anxiety and depression assessment.
The proposed method revealed it suitability to compare the use
of pen-and-paper versus computerized systems for pain
assessment.