PubMed · 15613224
Headache interference as a function of affect and coping: an artificial neural network analysis.
Abstract
Artificial neural networks present a technique for modeling relationships between variables in complex systems. The negative effects of headache are determined by many "biopsychosocial" elements that represent a complex system. Artificial neural networks may therefore be useful for examining psychological factors in headache. To test this hypothesis, we trained an artificial neural network to predict life-style interference attributed to headache from psychological measures of anger, depression, and coping appraisal and strategies. The artificial neural network demonstrated a better fit of the data than that obtained by multiple regression, and predicted interference levels to within 10% error for 80% of novel cases. Artificial neural networks may be a useful technique for examining psychological correlates of headache.
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S Cathcart, F Materazzo. 1999. Headache interference as a function of affect and coping: an artificial neural network analysis.. https://doi.org/10.1046/j.1526-4610.1999.3904270.x
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