2021

Conférence

In: Idoudi, H., Val, T. (eds) Smart Systems for E-Health. Advanced Information and Knowledge Processing. Springer, Cham.

In front of the continued growth of autistics number in the world, intelligent systems can be used by non-specialists such as educators or general physicians in autism screening. Moreover, it can assist psychiatrists in the diagnosis of autism to detect it as early as possible for early intervention. We propose in this chapter a tool for the diagnosis of autism: DAS-Autism. It is a knowledge-based system that handles qualitative knowledge in the multi-valued context. For this, we use our knowledge-based system shell RAMOLI, and its inference engine executes an approximate reasoning based on linguistic modifiers that we have introduced in a previous work. We have built a knowledge base that represents the domain expertise, in collaboration with a child psychiatry department of Razi hospital, the public psychiatric hospital in Tunisia. We have then conducted an experimental study in which we compared the system results to expert’s diagnoses. The results of this study were very satisfactory and promising.

@incollection{bel2021autism,
  title={DAS-autism: A rule-based system to diagnose autism within multi-valued logic},
  author={Bel Hadj Kacem, Saoussen and Borgi, Amel and Othman, Sami},
  booktitle={Smart Systems for E-Health: WBAN Technologies, Security and Applications},
  pages={183--200},
  year={2021},
  publisher={Springer}
}