A5016073698- Biomedical Text Mining and Ontologies
- Data Quality and Management
- Semantic Web and Ontologies
- Gut microbiota and health
- Imbalanced Data Classification Techniques
- Bioinformatics and Genomic Networks
- Advanced Chemical Sensor Technologies
- Gene expression and cancer classification
- Privacy-Preserving Technologies in Data
- Machine Learning in Bioinformatics
- Face and Expression Recognition
- Ethics in Clinical Research
- Zoonotic diseases and public health
- Bacillus and Francisella bacterial research
- Probiotics and Fermented Foods
- Cancer Genomics and Diagnostics
- Machine Learning and Data Classification
- Research Data Management Practices
- Tryptophan and brain disorders
- Rough Sets and Fuzzy Logic
- Kawasaki Disease and Coronary Complications
- Computational Drug Discovery Methods
- Natural Language Processing Techniques
- Electronic Health Records Systems
- Advanced DC-DC Converters
University of Cyprus
2008-2022
Ollscoil na Gaillimhe – University of Galway
2013
During the summer of 2023, European Region experienced a limited resurgence mpox cases following substantial outbreak in 2022. This increase was characterised by asynchronous and bimodal increases, with countries experiencing peaks at different times. The demographic profile during largely consistent those reported previously. All available sequences from belonged to clade IIb. Sustained efforts are crucial control eventually eliminate Region.
Background Leptospirosis is a zoonotic disease caused by bacteria of the genus Leptospira . Humans are infected exposure to animal urine or urine-contaminated environments. Although incidence lower in Europe compared with tropical regions, there have been reports an increase leptospirosis cases since 2000s some European countries. Aim We aimed describe epidemiology reported Union/European Economic Area (EU/EEA) during 2010−2021 and identify potential changes epidemiological patterns. Methods...
In healthcare, there is a vast amount of patients' data, which can lead to important discoveries if combined. Due legal and ethical issues, such data cannot be shared hence information underused. A new area research has emerged, called privacy preserving publishing (PPDP), aims in sharing way that preserved while the lost kept at minimum. this Letter, anonymisation algorithm for PPDP proposed, based on k-anonymity through pattern-based multidimensional suppression (kPB-MS). The uses feature...
Electronic Health Records (EHRs) contain an increasing wealth of medical information. They have the potential to help significantly in advancing research, as well improve health policies, providing society with additional benefits. However, European healthcare information space is fragmented due lack legal and technical standards, cost effective platforms, sustainable business models. The vision Linked2Safety advance clinical practice accelerate by pharmaceutical companies, professionals...
This paper proposes a Bayesian association rule mining algorithm (BAR) which combines the Apriori with networks. Two interesting-ness measures of rules: confidence (BC) and lift (BL) measure conditional dependence independence relationships between items are defined based on joint probabilities represented by networks rules. BAR outputs best rules according to BC BL. is evaluated for its performance using two anonymized clinical phenotype datasets from UCI Repository: Thyroid disease...
Microbiota and the metabolites they produce within large intestine interact with host epithelia under influence of a range host-derived metabolic, immune, homeostatic factors. This complex host-microbe interaction affects intestinal tumorigenesis, but established microbial or metabolite profiles predicting colorectal cancer (CRC) risk are missing. Here, we aimed to identify fecal bacteria, volatile organic compounds (VOC), their associations that distinguish healthy (non-adenoma, NA) from...
The key test for confidence in any association discovered within the medical domain is replication testing. That is, ability of to be detected independent populations. At same time, order increase likelihood discovering statistically significant associations there a clear need statistical power given study. A methodology increasing through use as many subjects possible that match study's inclusion criteria. Thus have attempted merge data from multiple sources/sites/studies contain criteria...
A set of well-integrated clinical terminologies is at the core delivering an efficient trial system. The design and outcomes a can be improved significantly through unambiguous consistent used in participating institute. However, due to lack generalised legal technical standards, heterogeneity exists between prominent as well within systems several levels, e.g., data, schema, medical codes. This article specifically addresses problem integrating local or proprietary with globally defined...
Discretization is a preprocessing technique used for converting continuous features into categorical. This step essential processing algorithms that cannot handle data as input. In addition, in the big era, it important discretizer to be able efficiently discretize data. this paper, new supervised density-based discretization (DBAD) algorithm proposed, which satisfies these requirements. For evaluation of algorithm, 11 datasets cover wide range medical domain were used. The proposed was...
Microbiota and the metabolites they produce within large intestine interact with host epithelia under influence of a range host-derived metabolic, immune, homeostatic factors. This complex host-microbe interaction affects intestinal tumorigenesis but established microbial or metabolite profiles predicting colorectal cancer (CRC) risk are missing. Here we describe alterations in fecal bacteria volatile organic compounds (VOC) healthy (Non-Adenoma, NA) versus CRC prone (High-Risk Adenoma, HRA)...
Excessive predominance of pathological species in the gut microbiota could increase production inflammatory mediators at level and, via modification gut-blood barrier, systemic level. This pro-inflammatory state could, turn, biological aging that is generally proxied by telomere shortening. In this study, we present findings from a secondary interaction analysis microbiota, aging, and marker data cohort patients with different diagnoses severe mental disorders. We analyzed 15 controls, 35...
Several machine learning techniques have been applied for finding multi-loci associations among Single Nucleotide Polymorphisms (SNPs) and a disease. In this paper it is investigated whether Self Organizing Maps (SOMs) can generate clusters associated with disease based on the genetic patterns of subjects. A batch categorical SOM that handle missing data was used Genome Wide Association (GWA) Multiple Sclerosis (MS). The association generated were initially tested using Pearson's chi square...
In this paper, an architecture is presented that allows the extraction of argumentation clauses might exist in publications, order to perform molecular clustering on referenced molecules. Grammar rules are defined and used identify sentences corresponding being present publications. The references those molecules then compiled as lists include their structure definition SMILES format. These given input virtual screening tools a tool, with ultimate goal classify known be prone specific...
Recent advances in genotyping technology have enabled large studies with data from thousands of subjects to contain half a million or more single nucleotide polymorphisms (SNPs) marker per subject. This rapid increase the size has generated need compress order reduce storage capacity requirements and memory required at run time perform analysis on data. The availability so many markers across whole genome created opportunities for new methodologies be implemented that take advantage...
Goal: Most common diseases are influenced by multiple gene interactions and with the environment. Performing an exhaustive search to identify such is computationally expensive needs address testing problem. A four-step framework proposed for efficient identification of n-Way interactions. Methods: The was applied on a Multiple Sclerosis dataset 725 subjects 147 tagging SNPs. first two steps quality control feature selection. next step uses clustering binary encodes features. final performs...