A5090919422- Scientific Computing and Data Management
- Research Data Management Practices
- Fault Detection and Control Systems
- Advanced Statistical Methods and Models
- Advanced SAR Imaging Techniques
- Advanced Statistical Process Monitoring
- Advanced Data Storage Technologies
- Time Series Analysis and Forecasting
- Data Stream Mining Techniques
- Advanced Fluorescence Microscopy Techniques
- Statistical Methods and Inference
- Biomedical and Engineering Education
- COVID-19 diagnosis using AI
- Quality and Supply Management
- Quality and Safety in Healthcare
- Gene Regulatory Network Analysis
- COVID-19 Clinical Research Studies
- Spectroscopy and Chemometric Analyses
- Patient Safety and Medication Errors
- Privacy-Preserving Technologies in Data
- Viral Infectious Diseases and Gene Expression in Insects
- Neural Networks and Applications
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
- Long-Term Effects of COVID-19
National College of Ireland
2022-2024
Universitat Politècnica de València
2021-2024
Abstract This paper presents a standardised dataset versioning framework for improved reusability, recognition and data version tracking, facilitating comparisons informed decision-making usability workflow integration. The adopts software engineering-like nomenclature (“major.minor.patch”) incorporates schema principles to promote reproducibility collaboration. To quantify changes in statistical properties over time, the concept of drift metrics ( d ) is introduced. Three P , E PCA E,AE...
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a chronic disease characterized by long-lasting persistent debilitating widespread fatigue and post-exertional malaise, remains diagnosed clinical criteria. Our group others have identified differentially expressed miRNA profiles in the blood of patients. However, their diagnostic power individually or combinations seems limited. A Partial Least Squares-Discriminant Analysis (PLS-DA) model initially based on 817 variables: two...
One of the most common sources information in Synthetic Biology is data coming from plate reader fluorescence measurements. These experiments provide a measure light emitted by certain fluorescent molecule, such as Green Fluorescent Protein (GFP). However, these measurements are generally expressed arbitrary units and affected measurement device gain. This limits range single experiment hampers comparison results among experiments. In this work, we describe PLATERO, calibration protocol to...
The clinical course of COVID-19 is highly variable. It therefore essential to predict as early and accurately possible the severity level disease in a patient who admitted hospital. This means identifying contributing factors mortality developing an easy-to-use score that could enable fast assessment risk using only information recorded at hospitalization. A large database adult patients with confirmed diagnosis (n = 15,628; 2,846 deceased) Spanish hospitals between December 2019 July 2020...
KEY POINTSix Sigma strategies for process improvement are widely used in industry and manufacturing. The spreading tendency to gather data about hospital activity is leading an increase of projects the healthcare context. complexity these databases requires upgrading classical statistical Six toolkit. In this paper we present a project carried out Outpatient Pharmaceutical Care Unit at Hospital Universitario Doctor Peset Valencia (Spain), where illustrate benefits using latent...
As one of the fundamental concepts underpinning FAIR (Findability, Accessibility, Interoperability, and Reusability) guiding principles, data provenance entails keeping track each version for a given dataset from its original to latest version. However, standard terms determine include versioning information in metadata are still ambiguous do not explicitly define how assess overlap between items along stream. In this work, we propose novel approach automatic time series datasets, based on...
Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, generation outlying cases itself usually appears as a secondary methodological step in methods comparison. In literature, outliers defined using certain distribution parameters which differ from those clean or reference data. However, these change among authors, leading lack standard and measurable definition characteristics simulated outliers. This makes comparison between hard...
Over the past five years, different organisations have increasingly called for science to become more open and reproducible. They endorsed a set of data-management principles known as FAIR (Findable, Accessible, Interoperable, Reusable) principles. As such, there is growing trend towards availability research data, researchers continue enhance reproducibility by enabling sharing opening their findings datasets. However, not yet standardised way openly enable access datasets while keeping...