An ontological-based monitoring system for patients with bipolar I disorder

1. A., Sakkalis V., Zacharioudakis G., Tsiknakis M., De Turck F. Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert // Sensors. vol. 14, N 1. p. 1598–1628, 2014.
2. http://www.fda.gov/downloads/ScienceResearch/SpecialTopics/PersonalizedMedicine/UCM372421.pdf
3. Carmeli B., Casali P., Goldbraich A., Goldste­en A., Kent C., Licitra L. et al. Evicase: an evidence-based case structuring approach for personalized healthcare // Stud. Health Technol. Inform. 2012. 180. 604–608,
4. Sackett D.L., Rosenberg W.M., Gray J.A., Hay­nes R.B., Richardson W.S. Evidence-based medicine: what it is and what it isn’t,» [editorial] // BMJ. 1996. 312. 7023. 71–72,
5. https://healthit.ahrq.gov/sites/default/files/docs/page/09-0069-EF_1.pdf
6. Maedche A., Staab S. Ontology learning for the Semantic Web // IEEE Intelligent Systems. 2001. 16. 2. 72–79.
7. Thase M.E. Bipolar Depression: Issues in diagnosis and treatment // Harvard Rev. Psychiatry. 2005. 13. 257–271.
8. Baader F., McGuinness D.L., Patel-Schneider P.F., and Nardi D. The Description Logic Handbook: Theory, Implementation, and Applications, Cambridge University Press, 2nd ed., 2007.
9. Gomez-Perez A., Corcho-Garcia O., Fernandez-Lopez M. Ontological Engineering, Springer-Verlag New York, Inc., 1st ed., 2003.
10. Heja G., Surja G., Varga P. Ontological analysis of SNOMED CT // BMC Med. Inform. Decis. Mak. 2008. 8. S8.
11. Schulz S., Stenzhorn H., Boeker M., Smith B. Strengths and limitations of formal ontologies in the biomedical domain // Rev. Electron Comun. Inf. Inov. Saude. 2009. 3. 1. 31–45.
12. Halland K., Britz K., Gerber A. Investigations into the use of SNOMED CT to enhance an OpenMRS health information system // South African Computer Journal. 2011. 47. 33–46.
13. Preventis A., Petrakis E., Batsakis S. Chronos Ed: A tool for handling temporal ontologies in Protege // (IJAIT), 2014.
14. Timmermans S., Mauck A. The promises and pitfalls of evidence-based medicine // Health Aff (Millwood). 2005. 24. 1. 18–28.
15. Connolly K.R., Thase M.E. The Clinical Management of Bipolar Disorder: A Review of Evidence-Based Guidelines // Prim. Care. Companion CNS Disord. 2011. 13. 4. PCC.10r01097.
16. Seckman C. Electronic health records and ap­plications for managing patient care // In: Elsevier and typesetter Toppan Bes. 2013. 87–105.
17. Ferraiolo D., Cugini J., Kuhn D.R. Role-based access control (RBAC): Features and motivations // 11th ACSAC, 1995.
18. Bhiogade M.S. Secure socket layer // Computer Science and Information Technology Education Conference, 2002.
19. Thermolia C., Bei E.S., Petrakis E.G.M., Kritsotakis V., Tsiknakis M., Sakkalis V. Designing A Patient Monitoring System for Bipolar Disorder Using Semantic Web Technologies // In Proc. IEEE EMBC, Milano. Italy, 2015.

Thermolia Ch.H. – student, the Intelligent Systems Laboratory, e-mail: cthermolia@ intelligence.tuc.gr

Bei E.S. – Ph.D., postdoctoral researcher, the Intelligent Systems Laboratory, e-mail: abei@isc.tuc.gr

Petrakis E.G.M. – Ph.D., Professor, laboratory director, the Intelligent Systems Laboratory,  e-mail: petrakis@intelligence.tuc.gr

Kritsotakis V. – M.Sc., technical staff, Computational BioMedicine Laboratory, e-mail: vkrits@ics.forth.gr

Sakkalis V. – Ph.D., principal researcher, Computational BioMedicine Laboratory, e-mail: sakkalis@ics.forth.gr