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Open source workflow systems for the development of complex computational experiments
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2012-06)
Today scientists are working in e-Science environments and carry out in silico experiments. A powerful approach, with proven capabilities to facilitate the design process of computational experiments is based on Scientific ...
Rule extraction of cardiovascular database using decision trees
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2009-06)
This study analyses the rule extraction of the cardiovascular database using classification algorithm. Heart disease is one of the most common causes of death in the western world and increasing so in Cyprus.
We constructed ...
Virtual reality intervention for rehabilitation and pain management
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2023-06-15)
Breathing problems can be a frequent and difficult symptom for those with lung cancer. The quality of life can be impacted by symptoms such chronic coughing, wheezing, chest pain, and shortness of breath. Fortunately, it ...
Expanding MYeHealthAppCY - Integration of BLE Medical Devices
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2023)
Ο τομέας της ψηφιακής υγείας μεταμορφώνει την υγειονομική περίθαλψη, προσφέροντας αυξημένη προσβασιμότητα, ευκολία και εξατομίκευση της περίθαλψης. Στο πλαίσιο αυτό, η παρούσα διατριβή παρουσιάζει μια επέκταση του ...
POST-Cardiosurgery home monitoring system
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2010-06)
One of the major factors limiting but also causing the application of modern technology in medicine is the response time to patients, should they need specialized medical care. In this thesis we propose a solution that can ...
Extracting Explainable Assessments of Alzheimer’s Disease via Machine Learning on Brain MRI data
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2024-06-13)
This master’s thesis focuses on the development of machine learning models and argumentation frameworks for the early diagnosis of Alzheimer's disease (AD) using brain MRI data. AD is the most common type of dementia, often ...
Brain Magnetic Resonance Imaging Segmentation System in MS with Deep Neural Networks
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2024-05-31)
Multiple Sclerosis is a chronic, auto-immune disease, which refers to the central nervous system. All nerves are covered by a layer called myelin, which is responsible to protect those nerves and preserve their functionality. ...