Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/9D42C6AA-20B4-4F59-957D-2AECDF7766A8 | - |
| Title | A chronic ontology model as telecare-decision support system for longitudinal monitoring of patients with bipolar disorder | en |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Creator | Bei Aikaterini | en |
| Creator | Μπεη Αικατερινη | el |
| Creator | Thermolia Chryso | en |
| Creator | Θερμολια Χρυσω | el |
| Publisher | MEDIMOND | en |
| Content Summary | 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 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 Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Type of Item | Conference Paper Abstract | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-28 | - |
| Date of Publication | 2014 | - |
| 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 | en |
Copyright © DIAS 2013
