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Papers by Yorgos Goletsis
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Journal of Accounting and Taxation, 2017
Expert Systems with Applications, 2016
Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010
The development of e-health applications has been rising the last decade and is attracting a sign... more The development of e-health applications has been rising the last decade and is attracting a significant amount of funds as it considered that e-health can bring about major improvements in healthcare provision. As a result, the need for evaluation is becoming more rigorous. Technical quality, medical completeness, effectiveness, usability, organizational fit, cost are only few of the evaluation dimensions to
Operational Research, 2015
Springer Optimization and Its Applications, 2012
Handbook of Research on Informatics in Healthcare and Biomedicine
Encyclopedia of Information Science and Technology, Second Edition
Computers in Cardiology, 2003, 2003
IEEE Transactions on Neural Networks and Learning Systems, 2013
Operational Research, 2004
... Application of the IDEA-AM (Integrated Development and Environmental Additionality - Assessme... more ... Application of the IDEA-AM (Integrated Development and Environmental Additionality - Assessment Methodology) to compare 12 real projects from the Mediterranean region FlamosAlexandros 1 , Anagnostopoulos Kostas I , Doukas Haris l, Goletsis Yorgos 2, Psarras John I ...
Methods of Information in Medicine, 2014
SummaryBackground: Heart failure (HF) is affecting millions of people every year and it is charac... more SummaryBackground: Heart failure (HF) is affecting millions of people every year and it is characterized by impaired ventricular performance, exercise intolerance and shortened life expectancy. Despite significant advancements in drug therapy, mortality of the disease remains excessively high, as heart transplant remains the gold standard treatment for end-stage HF when no contraindications subsist. Traditionally, implanted Ventricular Assist Devices (VADs) have been employed in order to provide circulatory support to patients who cannot survive the waiting time to transplantation, reducing the workload imposed on the heart. In many cases that process could recover its contractility performance.Objectives: The SensorART platform focuses on the management and remote treatment of patients suffering from HF. It provides an inter-operable, extendable and VAD-independent solution, which incorporates various hardware and software components in a holistic approach, in order to improve the ...
International Journal of Financial Markets and Derivatives, 2011
Diagnostics, Oct 10, 2021
Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cas... more Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cases of oral cancer are reported, worldwide. After the initial treatment of cancer and its complete disappearance, a state called remission, reoccurrence rates still remain quite high and the early identification of such relapses is a matter of great importance. Up to now, several approaches have been proposed for this purpose yielding however, unsatisfactory results. This is mainly attributed to the fragmented nature of these studies which took into account only a limited subset of the factors involved in the development and reoccurrence of oral cancer. In this work we propose a unified and orchestrated approach based on Dynamic Bayesian Networks (DBNs) for the prediction of oral cancer reoccurrence after the disease has reached remission. Several heterogeneous data sources featuring clinical, imaging and genomic information are assembled and analyzed over time, in order to procure new and informative biomarkers which correlate with the progression of the disease and identify early potential relapses (local or metastatic) of the disease.
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2017
The aim of this work is to present a machine learning based method for the prediction of adverse ... more The aim of this work is to present a machine learning based method for the prediction of adverse events (mortality and relapses) in patients with heart failure (HF) by exploiting, for the first time, measurements of breath and saliva biomarkers (Tumor Necrosis Factor Alpha, Cortisol and Acetone). Data from 27 patients are used in the study and the prediction of adverse events is achieved with high accuracy (77%) using the Rotation Forest algorithm. As in the near future, biomarkers can be measured at home, together with other physiological data, the accurate prediction of adverse events on the basis of home based measurements can revolutionize HF management.
Abstract—Cardiac beat classification is a key process in the detection of myocardial ischemic epi... more Abstract—Cardiac beat classification is a key process in the detection of myocardial ischemic episodes in the electrocardio-graphic signal. In the present study, we propose a multicriteria sorting method for classifying the cardiac beats as ischemic or not. Through a supervised learning procedure, each beat is compared to preclassified category prototypes under five criteria. These criteria refer to ST segment changes, T wave alterations, and the patient’s age. The difficulty in applying the above criteria is the determination of the required method parameters, namely the thresholds and weight values. To overcome this problem, we employed a genetic algorithm, which, after proper training, auto-matically calculates the optimum values for the above parameters. A task-specific cardiac beat database was developed for training and testing the proposed method using data from the European Society of Cardiology ST-T database. Various experimental tests were carried out in order to adjust ea...
Journal of Applied Finance and Banking, 2012
Fraudulent financial reporting is a matter of great social and economic concern. Managers may dis... more Fraudulent financial reporting is a matter of great social and economic concern. Managers may distort financial statements so as to present their companies more favorably to investors or creditors. On the other hand, auditors are the ones who are expected to identify fraudulent financial statements; however several limitations on auditors’ performance are reported. Therefore, decision support systems that can support auditor’s characterization and identify fraudulent statements can be of great benefit for the auditor himself but also for all stakeholders. In this work, we investigate the use of a swarm intelligence technique, mimicking the functions of natural ants for fraudulent financial statements detection. More specific, an Ant miner classifier is applied on a real dataset arising from the Athens Stock Exchange firms. The method is compared against commonly used statistical and machine learning classifiers. The obtained results are promising. Apart from the high classificat...
IEEE Reviews in Biomedical Engineering, 2020
Heart failure (HF) is the most rapidly growing cardiovascular condition with an estimated prevale... more Heart failure (HF) is the most rapidly growing cardiovascular condition with an estimated prevalence of >37.7 million individuals globally. HF is associated with increased mortality and morbidity and confers a substantial burden, in terms of cost and quality of life, for the individuals and the healthcare systems, highlighting thus the need for early and accurate diagnosis of HF. The accuracy of HF diagnosis, severity estimation and prediction of adverse events has been improved by the utilization of blood tests measuring biomarkers. The contribution of biomarkers for HF management is intensified by the fact that they can be measured in short time at the point-of-care. This is allowed by the development of portable analytical devices, commonly known as Point-of-Care Testing (POCT) devices, exploiting the advancements in the area of microfluidics and nanotechnology. The aim of this review paper is to present a review of POCT devices used for the measurement of biomarkers facilitating decision making when managing HF patients. The devices are either commercially available or in the form of prototypes under development. Both, blood and saliva samples are considered. The challenges concerning the implementation of POCT devices and the barriers for their adoption in clinical practice are discussed.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Journal of Accounting and Taxation, 2017
Expert Systems with Applications, 2016
Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010
The development of e-health applications has been rising the last decade and is attracting a sign... more The development of e-health applications has been rising the last decade and is attracting a significant amount of funds as it considered that e-health can bring about major improvements in healthcare provision. As a result, the need for evaluation is becoming more rigorous. Technical quality, medical completeness, effectiveness, usability, organizational fit, cost are only few of the evaluation dimensions to
Operational Research, 2015
Springer Optimization and Its Applications, 2012
Handbook of Research on Informatics in Healthcare and Biomedicine
Encyclopedia of Information Science and Technology, Second Edition
Computers in Cardiology, 2003, 2003
IEEE Transactions on Neural Networks and Learning Systems, 2013
Operational Research, 2004
... Application of the IDEA-AM (Integrated Development and Environmental Additionality - Assessme... more ... Application of the IDEA-AM (Integrated Development and Environmental Additionality - Assessment Methodology) to compare 12 real projects from the Mediterranean region FlamosAlexandros 1 , Anagnostopoulos Kostas I , Doukas Haris l, Goletsis Yorgos 2, Psarras John I ...
Methods of Information in Medicine, 2014
SummaryBackground: Heart failure (HF) is affecting millions of people every year and it is charac... more SummaryBackground: Heart failure (HF) is affecting millions of people every year and it is characterized by impaired ventricular performance, exercise intolerance and shortened life expectancy. Despite significant advancements in drug therapy, mortality of the disease remains excessively high, as heart transplant remains the gold standard treatment for end-stage HF when no contraindications subsist. Traditionally, implanted Ventricular Assist Devices (VADs) have been employed in order to provide circulatory support to patients who cannot survive the waiting time to transplantation, reducing the workload imposed on the heart. In many cases that process could recover its contractility performance.Objectives: The SensorART platform focuses on the management and remote treatment of patients suffering from HF. It provides an inter-operable, extendable and VAD-independent solution, which incorporates various hardware and software components in a holistic approach, in order to improve the ...
International Journal of Financial Markets and Derivatives, 2011
Diagnostics, Oct 10, 2021
Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cas... more Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cases of oral cancer are reported, worldwide. After the initial treatment of cancer and its complete disappearance, a state called remission, reoccurrence rates still remain quite high and the early identification of such relapses is a matter of great importance. Up to now, several approaches have been proposed for this purpose yielding however, unsatisfactory results. This is mainly attributed to the fragmented nature of these studies which took into account only a limited subset of the factors involved in the development and reoccurrence of oral cancer. In this work we propose a unified and orchestrated approach based on Dynamic Bayesian Networks (DBNs) for the prediction of oral cancer reoccurrence after the disease has reached remission. Several heterogeneous data sources featuring clinical, imaging and genomic information are assembled and analyzed over time, in order to procure new and informative biomarkers which correlate with the progression of the disease and identify early potential relapses (local or metastatic) of the disease.
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2017
The aim of this work is to present a machine learning based method for the prediction of adverse ... more The aim of this work is to present a machine learning based method for the prediction of adverse events (mortality and relapses) in patients with heart failure (HF) by exploiting, for the first time, measurements of breath and saliva biomarkers (Tumor Necrosis Factor Alpha, Cortisol and Acetone). Data from 27 patients are used in the study and the prediction of adverse events is achieved with high accuracy (77%) using the Rotation Forest algorithm. As in the near future, biomarkers can be measured at home, together with other physiological data, the accurate prediction of adverse events on the basis of home based measurements can revolutionize HF management.
Abstract—Cardiac beat classification is a key process in the detection of myocardial ischemic epi... more Abstract—Cardiac beat classification is a key process in the detection of myocardial ischemic episodes in the electrocardio-graphic signal. In the present study, we propose a multicriteria sorting method for classifying the cardiac beats as ischemic or not. Through a supervised learning procedure, each beat is compared to preclassified category prototypes under five criteria. These criteria refer to ST segment changes, T wave alterations, and the patient’s age. The difficulty in applying the above criteria is the determination of the required method parameters, namely the thresholds and weight values. To overcome this problem, we employed a genetic algorithm, which, after proper training, auto-matically calculates the optimum values for the above parameters. A task-specific cardiac beat database was developed for training and testing the proposed method using data from the European Society of Cardiology ST-T database. Various experimental tests were carried out in order to adjust ea...
Journal of Applied Finance and Banking, 2012
Fraudulent financial reporting is a matter of great social and economic concern. Managers may dis... more Fraudulent financial reporting is a matter of great social and economic concern. Managers may distort financial statements so as to present their companies more favorably to investors or creditors. On the other hand, auditors are the ones who are expected to identify fraudulent financial statements; however several limitations on auditors’ performance are reported. Therefore, decision support systems that can support auditor’s characterization and identify fraudulent statements can be of great benefit for the auditor himself but also for all stakeholders. In this work, we investigate the use of a swarm intelligence technique, mimicking the functions of natural ants for fraudulent financial statements detection. More specific, an Ant miner classifier is applied on a real dataset arising from the Athens Stock Exchange firms. The method is compared against commonly used statistical and machine learning classifiers. The obtained results are promising. Apart from the high classificat...
IEEE Reviews in Biomedical Engineering, 2020
Heart failure (HF) is the most rapidly growing cardiovascular condition with an estimated prevale... more Heart failure (HF) is the most rapidly growing cardiovascular condition with an estimated prevalence of >37.7 million individuals globally. HF is associated with increased mortality and morbidity and confers a substantial burden, in terms of cost and quality of life, for the individuals and the healthcare systems, highlighting thus the need for early and accurate diagnosis of HF. The accuracy of HF diagnosis, severity estimation and prediction of adverse events has been improved by the utilization of blood tests measuring biomarkers. The contribution of biomarkers for HF management is intensified by the fact that they can be measured in short time at the point-of-care. This is allowed by the development of portable analytical devices, commonly known as Point-of-Care Testing (POCT) devices, exploiting the advancements in the area of microfluidics and nanotechnology. The aim of this review paper is to present a review of POCT devices used for the measurement of biomarkers facilitating decision making when managing HF patients. The devices are either commercially available or in the form of prototypes under development. Both, blood and saliva samples are considered. The challenges concerning the implementation of POCT devices and the barriers for their adoption in clinical practice are discussed.