Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/3296C754-3796-4E2A-A004-C2C983FC13F3 | - |
| Αναγνωριστικό | http://www.intelligence.tuc.gr/~petrakis/publications/SIBIRCON2015.pdf | - |
| Γλώσσα | en | - |
| Μέγεθος | 6 pages | en |
| Τίτλος | An ontological-based monitoring system for patients with bipolar I disorder | en |
| Δημιουργός | Petrakis Evripidis | en |
| Δημιουργός | Πετρακης Ευριπιδης | el |
| Δημιουργός | Bei Aikaterini | en |
| Δημιουργός | Μπεη Αικατερινη | el |
| Δημιουργός | Thermolia Chryso | en |
| Δημιουργός | Θερμολια Χρυσω | el |
| Δημιουργός | Vangelis Kritsotakis | en |
| Δημιουργός | en | |
| Δημιουργός | Vangelis Sakkalis | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | Our 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 |
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Τύπος | Conference Paper Abstract | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-28 | - |
| Ημερομηνία Δημοσίευσης | 2015 | - |
| Βιβλιογραφική Αναφορά | Chryssa 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.pdf | en |
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