Ontology-Based Information Gathering System for Patients with Chronic Diseases: Lifestyle Questionnaire Design

Lamine Benmimoune (1, 2) , Amir Hajjam (1) , Parisa Ghodous (3) , Emmanuel Andres (4) , Samy Talha (4) , Mohamed Hajjam (2)

1 IRTES - Institut de Recherche sur les Transports, l'Energie et la Société
2 Newel
3 SOC - Service Oriented Computing
4 Nouvel Hôpital Civil de Strasbourg

The aim of this paper is to describe an original approach which consists of designing an Information Gathering System (IGS). This system gathers the most relevant information related to the patient. Our IGS is based on using questionnaire ontology and adaptive engine which collects relevant information by prompting the whole significant questions in connection with the patient' s medical background. The formerly collected answers are also taken into consideration in the questions selection process. Our approach improves the classical approach by cus-tomizing the interview to each patient. This ensures the selection of all of the most relevant questions. The proposed IGS is integrated within E-care monitoring platform for gathering lifestyle-related patient data.

Mots clés: Information Gathering System; Questionnaire; Health-care; Clinical Decision Support System; Ontology; Monitoring

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]

Lamine Benmimoune, Amir Hajjam, Parisa Ghodous, Emmanuel Andres, Samy Talha, et al.. Ontology-Based Information Gathering System for Patients with Chronic Diseases: Lifestyle Questionnaire Design. Progress in Artificial Intelligence, Sep 2015, Coimbra, Portugal. pp.110-115, ⟨10.1007/978-3-319-23485-4_11⟩. ⟨hal-01263333⟩