Laboratory of Medical Informatics

Thessaloníki, Greece

Laboratory of Medical Informatics

Thessaloníki, Greece
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Zoppis I.,University of Milan Bicocca | Mauri G.,University of Milan Bicocca | Sicurello F.,University of Milan Bicocca | Santoro E.,Laboratory of Medical Informatics | Castelnuovo G.,Instituto AuxologicoItaliano IRCCS
Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016 | Year: 2017

New technologies are multiplying at an enormous speed and the produced data is not only massive but also complex. In fact, despite the abundance of tools to capture, process and share information (e.g. data) one cannot broadly assume the standard hypothesis that such data are identically and independently distributed (i.i.d.). As a result, proper handling of data is fundamental in order to convert the available observation in to useful information that leads to knowledge and suitable decision making. In this paper, we focus on network data. That is, we introduce the reader to a theoretical perspective concerning the knowledge mining of huge amount of relational information collected in all the network systems which are ubiquitous in our life. In this context, following a numerical evaluation we show the reader how different kind of information can provide a benefit for a typical machine learning problem i.e. classification. The main issue of our investigation is to provide a case where the accuracy of a classification model benefits when considering the additional information given by both network and dissimilarity features. Moreover, we treat a clinical example that will serve as running case for our analysis. © 2017 Taylor & Francis Group, London.


Zoppis I.,University of Milan Bicocca | Mauri G.,University of Milan Bicocca | Sicurello F.,University of Milan Bicocca | Santoro E.,Laboratory of Medical Informatics | Castelnuovo G.,UnivesityCattolicadel Sacro Cuore
Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016 | Year: 2017

Obesity is one of the most important medical and public health problems of our time: it increases the risk of many health complications such as type 2 diabetes, needs long-lasting treatment for effective results and involves high public and private costs. Therefore, it is imperative that enduring and low-cost clinical programs are developed and evaluated. As reported in several studies, ICT may be valid alternatives to reduce costs and improve adherence to prescribed treatment. Nevertheless few studies have tested a long-term intervention addressed to the behavior change and to measure the weight loss of obese subjects. For this reason, we developed the DIABESITY study, the design of a mHealth integrated platform for empowering diabetic and obese citizens in self-monitoring, and self-management through the use of mobile devices, monitors and treatment protocols. In this paper we focus on the following three important aspects of DIABESITY. i) Dietary mHealth tools for home-patients; ii) Application and analysis of psychological factors and processes which mediate change of behavior and affect initiation and maintenance phases; iii) Employment of social networks for patients and clinicians. Currently, this study involves 14 international partners chosen amongst hospitals, universities and ICT companies which will strictly collaborate by contributing with their own specific skills. The effectiveness of DIABESITY compared with usual care (hospital-based treatment) will be provided in a randomized controlled trial with a 24-month follow-up. In particular, here we report primary and secondary clinical outcomes with the basic statistical procedures which will be used for this evaluation. © 2017 Taylor & Francis Group, London.


Komnidis A.,Laboratory of Medical Informatics | Konstantinidis E.,Laboratory of Medical Informatics | Stylianou I.,Aristotle University of Thessaloniki | Klados M.A.,Laboratory of Medical Informatics | And 2 more authors.
IFMBE Proceedings | Year: 2010

Olfactometers are widely used in the study of the chemical senses from a neurophysiological point of view. Although there is a plethora of olfactometer designs, all of them lack of flexibility in modification. In more details they are not able to dynamically increase the number of odors that can be provided simultaneously or they are not capable to use other form of odorous material than the one they've been designed for. In addition to all these the concentration of the stimulus is estimated indirectly through the ratio of the odorized and the odorless air that is delivered to the subject. Taking into account all these, it is understandable that there is an urgent need for an effective olfactometer which will be able to overcome the aforementioned drawbacks of the existing olfactometers. In this scope, the current study comes to introduce a new computer - operated olfactometer. Its novelty lies on the fact that it has a modular architecture with microcontroller units in every module, which can undoubtfully simplify the system's modification. On the other hand it can also estimate directly the Volatile Organic Compounds (VOC) with one sensor for every odor, and one sensor for the overall stimulus. © 2010 International Federation for Medical and Biological Engineering.


Elfatoiki F.Z.,Ibn Rochd UHC of Casablanca | Elfatoiki F.Z.,Laboratory of Immunology | El Azhari M.,Pasteur Institute | El Kettani A.,Laboratory of Medical informatics | And 6 more authors.
Pan African Medical Journal | Year: 2016

Psoriatic lesions are rarely complicated by recurrent infections. The aim of our study is to determine skin colonisation and nasal carriage of Staphylococcus aureus in patients with psoriasis and in healthy persons. Patients and methods: a comparative study that include 33 patients with psoriasis and 33 healthy persons.Samples were taken from lesional and non lesional psoriatic skin and from healthy skin of control group. For S. aureus nasal carriage, we used sterile cotton tipped swabs. Out of165 samples (66 skin samples and 33 nasal swabs), 26 S. Aureus strains were isolated in 26 persons, 57.69% in the control group and 42.3% in the psoriasisgroup. S. aureus skin colonization was found in one case (3%) inlesional psoriatic skin vs 9 cases (27.3%) in control skin OR=0.08 IC 95% (0.01-0.70) p=0.02 and in 12,1% in non lesional soriatic skin vs 27, 3% in control skin (p =0,13). This colonization was less important in lesional psoriatic skin (3%) than in non lesional psoriatic skin (12.1%) p= 0.20. Nasal screening identified (7/33) 21, 21% S. aureus carriers in psoriasis group and in control group. Our results are in consensus withliterature findings. They have confirmed the importance of antimicrobial peptides in Innateimmunity of human skin. These peptides are normally produced bykeratinocytes in response to inflammatory stimuli such as psoriasis. Their high expression in psoriasis skin reduces the risk of skin infection and skin colonization with S. Aureus. © Fatima Zahra Elfatoiki et al.


PubMed | Laboratory of Medical Informatics
Type: Controlled Clinical Trial | Journal: PloS one | Year: 2012

Acute alcohol intake is known to enhance inhibition through facilitation of GABA(A) receptors, which are present in 40% of the synapses all over the brain. Evidence suggests that enhanced GABAergic transmission leads to increased large-scale brain connectivity. Our hypothesis is that acute alcohol intake would increase the functional connectivity of the human brain resting-state network (RSN). To test our hypothesis, electroencephalographic (EEG) measurements were recorded from healthy social drinkers at rest, during eyes-open and eyes-closed sessions, after administering to them an alcoholic beverage or placebo respectively. Salivary alcohol and cortisol served to measure the inebriation and stress levels. By calculating Magnitude Square Coherence (MSC) on standardized Low Resolution Electromagnetic Tomography (sLORETA) solutions, we formed cortical networks over several frequency bands, which were then analyzed in the context of functional connectivity and graph theory. MSC was increased (p<0.05, corrected with False Discovery Rate, FDR corrected) in alpha, beta (eyes-open) and theta bands (eyes-closed) following acute alcohol intake. Graph parameters were accordingly altered in these bands quantifying the effect of alcohol on the structure of brain networks; global efficiency and density were higher and path length was lower during alcohol (vs. placebo, p<0.05). Salivary alcohol concentration was positively correlated with the density of the network in beta band. The degree of specific nodes was elevated following alcohol (vs. placebo). Our findings support the hypothesis that short-term inebriation considerably increases large-scale connectivity in the RSN. The increased baseline functional connectivity can -at least partially- be attributed to the alcohol-induced disruption of the delicate balance between inhibitory and excitatory neurotransmission in favor of inhibitory influences. Thus, it is suggested that short-term inebriation is associated, as expected, to increased GABA transmission and functional connectivity, while long-term alcohol consumption may be linked to exactly the opposite effect.


Lithari C.,Laboratory of Medical Informatics | Klados M.A.,Laboratory of Medical Informatics | Pappas C.,Laboratory of Medical Informatics | Albani M.,Laboratory of Physiology | And 3 more authors.
PLoS ONE | Year: 2012

Acute alcohol intake is known to enhance inhibition through facilitation of GABAA receptors, which are present in 40% of the synapses all over the brain. Evidence suggests that enhanced GABAergic transmission leads to increased large-scale brain connectivity. Our hypothesis is that acute alcohol intake would increase the functional connectivity of the human brain resting-state network (RSN). To test our hypothesis, electroencephalographic (EEG) measurements were recorded from healthy social drinkers at rest, during eyes-open and eyes-closed sessions, after administering to them an alcoholic beverage or placebo respectively. Salivary alcohol and cortisol served to measure the inebriation and stress levels. By calculating Magnitude Square Coherence (MSC) on standardized Low Resolution Electromagnetic Tomography (sLORETA) solutions, we formed cortical networks over several frequency bands, which were then analyzed in the context of functional connectivity and graph theory. MSC was increased (p<0.05, corrected with False Discovery Rate, FDR corrected) in alpha, beta (eyes-open) and theta bands (eyes-closed) following acute alcohol intake. Graph parameters were accordingly altered in these bands quantifying the effect of alcohol on the structure of brain networks; global efficiency and density were higher and path length was lower during alcohol (vs. placebo, p<0.05). Salivary alcohol concentration was positively correlated with the density of the network in beta band. The degree of specific nodes was elevated following alcohol (vs. placebo). Our findings support the hypothesis that short-term inebriation considerably increases large-scale connectivity in the RSN. The increased baseline functional connectivity can -at least partially- be attributed to the alcohol-induced disruption of the delicate balance between inhibitory and excitatory neurotransmission in favor of inhibitory influences. Thus, it is suggested that short-term inebriation is associated, as expected, to increased GABA transmission and functional connectivity, while long-term alcohol consumption may be linked to exactly the opposite effect. © 2012 Lithari et al.

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