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A chronic ontology model as telecare-decision support system for longitudinal monitoring of patients with bipolar disorder

Petrakis Evripidis, Bei Aikaterini, Thermolia Chryso

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URIhttp://purl.tuc.gr/dl/dias/9D42C6AA-20B4-4F59-957D-2AECDF7766A8-
TitleA chronic ontology model as telecare-decision support system for longitudinal monitoring of patients with bipolar disorderen
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
CreatorBei Aikaterinien
CreatorΜπεη Αικατερινηel
CreatorThermolia Chrysoen
CreatorΘερμολια Χρυσωel
PublisherMEDIMONDen
Content SummaryClinical decision support (CDS) systems are computer systems that deal with scientific knowledge and patient data in order to offer clinical guidance. The utility of CDS systems in mental health can be viewed in terms of enhancing both the diagnosis and treatment processes. Addressing these issues, we exploit Semantic Web Technologies to develop AI-CARE, as a Clinical Decision Support System based on evidence-based clinical guidelines and the patient’s medical information. The AI-CARE approach allows individualized diagnosis and treatment decisions as output of the examined case by providing recommendations about the best therapeutic treatment, notifications and alerts. We present a chronic ontology model based on the longitudinal course of Bipolar I Disorder (BDI) that incorporates acute episodes and treatment algorithms as well as patientcentered factors, with the aim to laborate on this information and offer regimen choices to clinicians for better mental health care.en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-28-
Date of Publication2014-
Bibliographic CitationChrysa H. Thermolia, Ekaterini S. Bei, Euripides G.M. Petrakis. (2014). A chronic ontology model as telecare-decision support system for longitudinal monitoring of patients with bipolar disorder.[Online]. Available:http://www.intelligence.tuc.gr/~petrakis/publications/WPA-INA-HSRPS-2014.pdfen

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