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AIM To classify patients with possible diagnosis of Obstructive Sleep Apnea Syndrome (OSAS) into groups according to the severity of the disease using a decision tree producing algorithm based on nonlinear analysis of 3 respiratory signals instead of the use of full polysomnography. PATIENTS-METHODS Eighty-six consecutive patients referred to the Sleep(More)
OBJECTIVE To evaluate the diagnostic and prognostic performance of inflammatory markers for septic and non septic (localized) bacterial infections in patients with severe burn. METHODS AND RESULTS Data of 145 patients were prospectively included in this study. Serum procalcitonin and other inflammatory markers were measured within 24 h after burn and(More)
In this paper, an ontology-based system (KnowBaSICS-M) is presented for the semantic management of Medical Computational Problems (MCPs), i.e., medical problems and computerised algorithmic solutions. The system provides an open environment, which: (1) allows clinicians and researchers to retrieve potential algorithmic solutions pertinent to a medical(More)
Sleep apnea-hypopnea syndrome (SAHS) causes serious symptoms and may induce patients' quality of life impairment. The aim of this study was to assess health related quality of life (HRQOL) in Greek patients with various severity SAHS before and after CPAP implementation in comparison with conservative therapy and Greek population normative data. In 180(More)
Medical Computational Problem (MCP) solving is related to medical problems and their computerized algorithmic solutions. In this paper, an extension of an ontology-based model to fuzzy logic is presented, as a means to enhance the information retrieval (IR) procedure in semantic management of MCPs. We present herein the methodology followed for the fuzzy(More)
Recently, a great interest has emerged in e-learning approaches for medical education. In particular, Problem/Case based learning constitutes a significant initiative in the domain. In this paper, we propose an ontology-based approach to constructing medical computational problems (MCPs) to be used in electronic medical education. Specifically, we elaborate(More)
This paper presents a semantic rule-based system for the composition of successful algorithmic pathways capable of solving medical computational problems (MCPs). A subset of medical algorithms referring to MCP solving concerns well-known medical problems and their computational algorithmic solutions. These solutions result from computations within(More)
Electrical impedance tomography (EIT) is increasingly used in patients suffering from respiratory disorders during pulmonary function testing (PFT). The EIT chest examinations often take place simultaneously to conventional PFT during which the patients involuntarily move in order to facilitate their breathing. Since the influence of torso and arm movements(More)