  Decision support systems play an important role in medical fields as they can
augment clinicians to deal more efficiently and effectively with complex
decision-making processes. In the diagnosis of headache disorders, however,
existing approaches and tools are still not optimal. On the one hand, to
support the diagnosis of this complex and vast spectrum of disorders, the
International Headache Society released in 1988 the International
Classification of Headache Disorders (ICHD), now in its 3rd edition: a 200
pages document classifying more than 300 different kinds of headaches, where
each is identified via a collection of specific nontrivial diagnostic criteria.
On the other hand, the high number of headache disorders and their complex
criteria make the medical history process inaccurate and not exhaustive both
for clinicians and existing automatic tools. To fill this gap, we present
HEAD-ASP, a novel decision support system for the diagnosis of headache
disorders. Through a REST Web Service, HEAD-ASP implements a dynamic
questionnaire that complies with ICHD-3 by exploiting two logical modules to
reach a complete diagnosis while trying to minimize the total number of
questions being posed to patients. Finally, HEAD-ASP is freely available
on-line and it is receiving very positive feedback from the group of
neurologists that is testing it.
