Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/A6FE1FBE-4701-48F4-9805-F4687FAF8396 | ||
| Έτος | 2015 | ||
| Τύπος | Αφίσα σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | Chryssa Thermolia, Ekaterini S. Bei, Euripides G.M. Petrakis, Vangelis Kritsotakis, Manolis Tsiknakis, Vangelis Sakkalis.(2015, Aug.).Designing A Patient Monitoring System for Bipolar Disorder Using Semantic Web Technologies. Presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015).[Online]. Available:http://www.intelligence.tuc.gr/~petrakis/publications/EMBC2015.pdf | ||
| Εμφανίζεται στις Συλλογές |
The new movement to personalize treatment plansand improve prediction capabilities is greatly facilitated byintelligent remote patient monitoring and risk prevention. Thispaper focuses on patients suffering from bipolar disorder, amental illness characterized by severe mood swings. We exploitthe advantages of Semantic Web and Electronic Health RecordTechnologies to develop a patient monitoring platform tosupport clinicians. Relying on intelligently filtering of clinicalevidence-based information and individual-specific knowledge,we aim to provide recommendations for treatment andmonitoring at appropriate time or concluding into alerts forserious shifts in mood and patients’ non response to treatment.
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