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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/3296C754-3796-4E2A-A004-C2C983FC13F3 | - |
| Identifier | http://www.intelligence.tuc.gr/~petrakis/publications/SIBIRCON2015.pdf | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | An ontological-based monitoring system for patients with bipolar I 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 |
| Creator | Vangelis Kritsotakis | en |
| Creator | en | |
| Creator | Vangelis Sakkalis | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | 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 |
| 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 | 2015 | - |
| Bibliographic Citation | 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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