Δημοσιεύσεις

Κατάλογος ενδεικτικών δημοσιεύσεων του τμήματος Ιατρικής ΑΠΘ σε διεθνή επιστημονικά περιοδικά κατά τα τελευταία 5 έτη.

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Συντάκτης Τίτλος [ Τύπος(Desc)] Έτος
Φίλτρα: Συντάκτης is Chouvarda, Ioanna  [Clear All Filters]
Journal Article
Kavakiotis, I., Tsave O., Salifoglou A., Maglaveras N., Vlahavas I., & Chouvarda I. (2017).  Machine Learning and Data Mining Methods in Diabetes Research. Computational and Structural Biotechnology Journal. 15, 104 - 116.
Kavakiotis, I., Tsave O., Salifoglou A., Maglaveras N., Vlahavas I., & Chouvarda I. (2017).  Machine Learning and Data Mining Methods in Diabetes Research.. Comput Struct Biotechnol J. 15, 104-116.
Kotanidou, E., Kosvyra A., Mouzaki K., Giza S., Tsinopoulou V., Serbis A., et al. (2023).  Methylation haplotypes of the insulin gene promoter in children and adolescents with type 1 diabetes: Can a dimensionality reduction approach predict the disease?. Experimental and Therapeutic Medicine. 26(4), 
Kakaletsis, N., Ntaios G., Milionis H., Karagiannaki A., Chouvarda I., Dourliou V., et al. (2023).  Midday Dipping and Circadian Blood Pressure Patterns in Acute Ischemic Stroke. Journal of Clinical Medicine. 12(14), 4816.
Martin, A., Guerrero-Mora G., Dorantes-Méndez G., Alba A., Méndez M. O., & Chouvarda I. (2015).  Non-linear analysis of EEG and HRV signals during sleep.. Conf Proc IEEE Eng Med Biol Soc. 2015, 4174-7.
Chouvarda, I., Gkontra P., Kokonozi A., Semertzidis P., Caffarel J., & Maglaveras N. (2011).  Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients.. Conf Proc IEEE Eng Med Biol Soc. 2011, 888-91.
Kilintzis, V., Pappas T., Chouvarda I., Salonikiou A., Maglaveras N., Dimitrakos S., et al. (2011).  Novel Heidelberg retina tomograph-based morphological parameters derived from optic disc cupping surface processing.. Invest Ophthalmol Vis Sci. 52(2), 947-51.
Vassilikos, V., Dakos G., Chatzizisis Y. S., Chouvarda I., Karvounis C., Maynard C., et al. (2011).  Novel non-invasive P wave analysis for the prediction of paroxysmal atrial fibrillation recurrences in patients without structural heart disease: a prospective pilot study.. Int J Cardiol. 153(2), 165-72.
Kostopoulos, K., Chouvarda I., Koutkias V., Kokonozi A., van Gils M., & Maglaveras N. (2011).  An ontology-based framework aiming to support personalized exercise prescription: application in cardiac rehabilitation.. Conf Proc IEEE Eng Med Biol Soc. 2011, 1567-70.
Rocha, B. M., Filos D., Mendes L., Serbes G., Ulukaya S., Kahya Y. P., et al. (2019).  An open access database for the evaluation of respiratory sound classification algorithms.. Physiol Meas. 40(3), 035001.
Livitckaia, K., Koutkias V., Kouidi E., van Gils M., Maglaveras N., & Chouvarda I. (2019).  “OPTImAL”: an ontology for patient adherence modeling in physical activity domain. BMC Medical Informatics and Decision Making. 19(1), 
Dakos, G., Konstantinou D., Chatzizisis Y. S., Chouvarda I., Filos D., Paraskevaidis S., et al. (2015).  P wave analysis with wavelets identifies hypertensive patients at risk of recurrence of atrial fibrillation: A case-control study and 1year follow-up.. J Electrocardiol. 48(5), 845-52.
Koumaditis, K., Themistocleous M., Vassilacopoulos G., Prentza A., Kyriazis D., Malamateniou F., et al. (2014).  Patient-Centered e-Health Record over the Cloud.. Stud Health Technol Inform. 202, 193-6.
Girasis, C., Vassilikos V., Efthimiadis G. K., Papadopoulou S-L., Dakos G., Dalamaga E. G., et al. (2013).  Patients with hypertrophic cardiomyopathy at risk for paroxysmal atrial fibrillation: advanced echocardiographic evaluation of the left atrium combined with non-invasive P-wave analysis.. Eur Heart J Cardiovasc Imaging. 14(5), 425-34.
Koutkias, V. G., Chouvarda I., Triantafyllidis A., Malousi A., Giaglis G. D., & Maglaveras N. (2010).  A personalized framework for medication treatment management in chronic care.. IEEE Trans Inf Technol Biomed. 14(2), 464-72.
Kondylakis, H., Ciarrocchi E., Cerda-Alberich L., Chouvarda I., Fromont L. A., Garcia-Aznar J. Manuel, et al. (2022).  Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanksAbstract. European Radiology Experimental. 6(1), 
Filos, D., Claes J., Cornelissen V., Kouidi E., & Chouvarda I. (2023).  Predicting Adherence to Home-Based Cardiac Rehabilitation with Data-Driven Methods. Applied Sciences. 13(10), 6120.
Kakaletsis, N., Ntaios G., Milionis H., Karagiannaki A., Chouvarda I., Dourliou V., et al. (2023).  Prognostic significance of 24‐h blood pressure and variability indices in the outcome of acute ischaemic strokeAbstractBackgroundAimsMethodsResultsConclusions. Internal Medicine Journal. 53(7), 1137 - 1146.
Giannopoulos, G., Tachmatzidis D., Moysidis D. V., Filos D., Petridou M., Chouvarda I., et al. (2024).  P-wave Indices as Predictors of Atrial Fibrillation: The Lion from a Claw. Current Problems in Cardiology. 49(1), 102051.
Vassilikos, V. P., Mantziari L., Dakos G., Kamperidis V., Chouvarda I., Chatzizisis Y. S., et al. (2014).  QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: a prospective pilot study.. J Electrocardiol. 47(1), 59-65.
Beredimas, N., Kilintzis V., Chouvarda I., & Maglaveras N. (2015).  A reusable ontology for primitive and complex HL7 FHIR data types.. Conf Proc IEEE Eng Med Biol Soc. 2015, 2547-50.
Kokkinaki, A., Chouvarda I., & Maglaveras N. (2012).  Searching biosignal databases by content and context: Research Oriented Integration System for ECG Signals (ROISES).. Comput Methods Programs Biomed. 108(2), 453-66.
Koutsiana, E., Ladakis I., Fotopoulos D., Chytas A., Kilintzis V., & Chouvarda I. (2020).  Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review.. JMIR Serious Games. 8(4), e19071.
Koutsiana, E., Chytas A., Vaporidi K., & Chouvarda I. (2019).  Smart alarms towards optimizing patient ventilation in intensive care: the driving pressure case.. Physiol Meas. 40(9), 095006.
Malousi, A., Chouvarda I., Koutkias V., Kouidou S., & Maglaveras N. (2010).  SpliceIT: a hybrid method for splice signal identification based on probabilistic and biological inference.. J Biomed Inform. 43(2), 208-17.

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