A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification
Roberta Costabile, Gelsomina Catalano, Bernardo Cuteri, Maria Concetta, Morelli, Nicola Leone, Marco Manna

TL;DR
This paper introduces HEAD-ASP, a logic-based decision support system that aids in diagnosing headache disorders by implementing a dynamic, criteria-compliant questionnaire to improve accuracy and efficiency in clinical decision-making.
Contribution
The paper presents a novel, web-based decision support system that automates headache diagnosis using logical modules aligned with ICHD-3 criteria, reducing questioning complexity.
Findings
HEAD-ASP is freely available online.
It receives positive feedback from neurologists.
The system effectively minimizes patient questioning.
Abstract
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…
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