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Designing a patient monitoring system for bipolar disorder using Semantic Web Technologies

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Designing a patient monitoring system for bipolar disorder using Semantic Web Technologies (EN)
Θερμολια Χρυσω (EL)
Πετρακης Ευριπιδης (EL)
Μπεη Αικατερινη (EL)
Vangelis Kritsotakis (EN)
Bei Aikaterini (EN)
Vangelis Sakkalis (EN)
Thermolia Chryso (EN)
Manolis Tsiknakis (EN)
Petrakis Evripidis (EN)
conferenceItem
poster
2015
The new movement to personalize treatment plans and improve prediction capabilities is greatly facilitated by intelligent remote patient monitoring and risk prevention. This paper focuses on patients suffering from bipolar disorder, a mental illness characterized by severe mood swings. We exploit the advantages of Semantic Web and Electronic Health Record Technologies to develop a patient monitoring platform to support clinicians. Relying on intelligently filtering of clinical evidence-based information and individual-specific knowledge, we aim to provide recommendations for treatment and monitoring at appropriate time or concluding into alerts for serious shifts in mood and patients’ non response to treatment. (EN)
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) (EL)
English
Institute of Electrical and Electronics Engineers (EN)
Πολυτεχνείο Κρήτης (EL)
Technical University of Crete (EN)
Technical University of Crete
Institutional Repository Technical University of Crete
School of Electrical and Computer Engineering - Journal Publications



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