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An ontological-based monitoring system for patients with bipolar I disorder

Petrakis Evripidis, Bei Aikaterini, Thermolia Chryso, Vangelis Kritsotakis, Vangelis Sakkalis

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/3296C754-3796-4E2A-A004-C2C983FC13F3-
Αναγνωριστικόhttp://www.intelligence.tuc.gr/~petrakis/publications/SIBIRCON2015.pdf-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςAn ontological-based monitoring system for patients with bipolar I disorderen
ΔημιουργόςPetrakis Evripidisen
ΔημιουργόςΠετρακης Ευριπιδηςel
ΔημιουργόςBei Aikaterinien
ΔημιουργόςΜπεη Αικατερινηel
ΔημιουργόςThermolia Chrysoen
ΔημιουργόςΘερμολια Χρυσωel
ΔημιουργόςVangelis Kritsotakisen
Δημιουργόςen
ΔημιουργόςVangelis Sakkalisen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηOur aim is to provide a patient monitoring system that integrates a Clinical Decision Support System (CDSS) and an Electronic Health Record (EHR) that assist psychiatrists and primary care physicians to tackle existent health needs of mental illness related to the treatment and management of bipolar I disorder (BDI). Our monitoring system consists of an EHR system based on the Health Level Seven Reference Information Model (HL7-RIM) and an ontological-based CDSS leveraging the Semantic Web capabilities. Based on the evidence-based clinical guidelines and patients’ health records, the monitoring system is developed to encode and process this information and subsequently to assign recommendations of choices and alerts to clinicians for improved mental health care. Considering the clinical guidelines germane knowledge, as well as issues of patient’s health record, the monitoring system can support a personalized decision-making for bipolar I disorder longitudinal course. We propose AI-CARE as an online monitoring tool that may offer useful guidance in clinical practice.en
ΤύποςΠερίληψη Δημοσίευσης σε Συνέδριοel
ΤύποςConference Paper Abstracten
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-28-
Ημερομηνία Δημοσίευσης2015-
Βιβλιογραφική ΑναφοράChryssa Thermolia, Ekaterini S. Bei, Euripides G.M. Petrakis, Vangelis Kritsotakis, Vangelis Sakkalis. (2015, Oct.).An Ontological-Based Monitoring System for Patients with Bipolar I Disorder. Presented at International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON). [Online]. Available: http://www.intelligence.tuc.gr/~petrakis/publications/SIBIRCON2015.pdfen

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