Adaptive Questionnaire Ontology in Gathering Patient Medical History in Diabetes Domain

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis

“…In the diabetes domain, ontology has been used in many CDSSs [13,23,[28][29][30]. For example, Chen et al [13] introduced an ontology for diabetes drugs and an ontology for patients' symptoms.…”

“…Rahimi et al [28] developed a type 2 diabetes mellitus (T2DM) ontology (DMO) to diagnose and manage patients with diabetes, and they proposed an algorithm to query the ePBRN data repository to diagnose T2DM. Sherimon et al [29] proposed a dynamic adaptive questionnaire ontology for gathering the diabetic patient's medical history. Hayuhardhika et al [30] developed an ontology for diabetes disease and used a weighted tree similarity algorithm for diagnosis.…”

A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major Depression

“…Adaptive techniques in HCI have been integrated in several Clinical Decision Support Systems (CDSS) in all stages of medical treatment and in most medical areas. Sherimon et al [23] presented an adaptive questionnaire for diabetic patients based on ontologies, semantic profiles, guidelines, and risk assessment. This questionnaire adapts itself based on the patient's medical history.…”

DDO: a diabetes mellitus diagnosis ontology

“…These ontologies utilize the Semantic Web Rule Language (SWRL) and Java Expert System Shell (JESS) to determine potential prescriptions for patients. Sherimon et al (2014) proposed a dynamic adaptive questionnaire ontology for gathering the medical histories of diabetic patients. Hayuhardhika et al (2014) developed an ontology of the diabetes disease and used a weighted tree similarity algorithm for diagnosis.…”