Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/9D42C6AA-20B4-4F59-957D-2AECDF7766A8 | ||
| Year | 2014 | ||
| Type of Item | Conference Paper Abstract | ||
| License |
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| Bibliographic Citation | Chrysa 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.pdf | ||
| Appears in Collections |
Clinical 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 SemanticWeb 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.
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