A5006863622- Advanced Database Systems and Queries
- Semantic Web and Ontologies
- Data Management and Algorithms
- Advanced Text Analysis Techniques
- HIV/AIDS Research and Interventions
- Data Quality and Management
- HIV Research and Treatment
- HIV/AIDS drug development and treatment
- Big Data and Business Intelligence
- Web Data Mining and Analysis
- Sentiment Analysis and Opinion Mining
- Service-Oriented Architecture and Web Services
- Multimedia Communication and Technology
- Higher Education Teaching and Evaluation
- Complex Network Analysis Techniques
- Scientific Computing and Data Management
- Data Mining Algorithms and Applications
- Pneumocystis jirovecii pneumonia detection and treatment
- Engineering and Information Technology
- E-Learning and Knowledge Management
- Libraries, Manuscripts, and Books
- Algorithms and Data Compression
- Biomedical Text Mining and Ontologies
- HIV-related health complications and treatments
- Competitive and Knowledge Intelligence
Universitat Jaume I
2012-2023
Biogipuzkoa Health Research Institute
2022
Hospital Universitario La Paz
2021
Hospital Universitario Ramón y Cajal
2020
Instituto Ramón y Cajal de Investigación Sanitaria
2020
Universidad de Alcalá
2020
Donostia Unibertsitate Ospitalea
2020
Universitat de València
2018
University of Birmingham
2018
Intel (United States)
2018
This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies XML technologies that are currently being used to integrate, store, query retrieve web data, their application DWs. The reviews different DW distributed architectures use of languages as an integration tool in these systems. also introduces problem dealing with semi-structured data a DW. repositories, design multidimensional databases for sources extensions On-Line Analytical Processing...
This paper describes the convergence of some most influential technologies in last few years, namely data warehousing (DW), on-line analytical processing (OLAP), and Semantic Web (SW). OLAP is used by enterprises to derive important business-critical knowledge from inside company. However, interesting queries can no longer be answered on internal alone, external must also discovered (most often web), acquired, integrated, (analytically) queried, resulting a new type OLAP, exploratory OLAP....
Abstract Objectives To assess the effectiveness and tolerability of dolutegravir (DTG)/lamivudine (3TC) among treatment-naive virologically suppressed treatment-experienced individuals in multicentre cohort Spanish HIV/AIDS Research Network (CoRIS) during years 2018–2021. Methods We used multivariable regression models to compare viral suppression (VS) [HIV RNA load (VL) <50 copies/mL] change CD4 cell counts at 24 48 (±12) weeks after initiation with dolutegravir/lamivudine or other...
BackgroundWhile a low CD4/CD8 ratio during HIV treatment correlates with immunosenescence, its value in identifying patients at an increased risk for clinical events remains unclear.MethodsWe analyzed data from the CoRIS cohort to determine whether CD4 count, CD8 and year two of antiretroviral therapy (ART) could predict serious non-AIDS (SNAEs) next five years. These included major adverse cardiovascular events, non-AIDS-defining malignancies, non-accidental deaths. We used pooled logistic...
Current data warehouse and OLAP technologies can be applied to analyze the structured that companies store in their databases. The circumstances describe context associated with these found other internal external sources of documents. In this paper we propose combine traditional corporate a document warehouse, resulting contextualized warehouse. Thus, warehouses keep historical record fact contexts as described by framework, user selects an analysis which is represented novel type cube,...
Web opinion feeds have become one of the most popular information sources users consult before buying products or contracting services. Negative opinions about some product can a high impact in its sales figures. As consequence, companies are more and concerned how to integrate this their Business Intelligence (BI) models so that they predict figures define new strategic goals. In paper, we present an approach sentiment data extracted from web into corporate warehouse where company...
Current data warehouse and OLAP (Kimball Ross, 2002) technologies can be efficiently applied to analyze the huge amounts of structured that companies produce. These organizations also produce many text documents use Web as their largest source external information. Although these include highly valuable information should exploited by companies, they cannot analyzed current because are unstructured mainly contain text. The trend is find available in XML-like formats. Our proposal build XML...
The tremendous popularity of web-based social media is attracting the attention industry to take profit from massive availability sentiment data, which considered a high value for Business Intelligence (BI). So far, BI has been mainly concerned with corporate data little or null external world. However, analysts, taking into account Voice Customer (VoC) and Market (VoM) crucial put in context results their analyses. Recent advances Sentiment Analysis have made possible effectively extract...
In this work we consider the web forums where users give their opinion about products or services that some organizations offer. The OLAP tools of traditional data warehouse systems, mainly designed to analyse structured data, cannot be directly applied take advantage these on-line text documents. This paper describes objectives our new project on so-called contextualized warehouses exploit analysis cubes a warehouse, each fact is linked document list. These documents provide information...
Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary traditional (BI), SBI has face the high dynamicity of both network’s contents and company’s analytical requests, as well enormous amount noisy data. Effective exploitation these continuous sources data requires efficient processing streamed be semantically shaped into insightful facts. In this paper, we propose a multidimensional formalism represent evaluate indicators...
Background: Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data context Public Health Surveillance (PHS). Most proposals have focused on dealing with static datasets gathered networks, which are processed mined off-line. However, little been done providing a general framework to analyse highly dynamic networks multidimensional perspective. In this paper, we claim that such is crucial for including PHS systems. Methods:...
Abstract This paper presents a novel author profiling method specially aimed at classifying social network users into the multidimensional perspectives for business intelligence (SBI) applications. In this scenario, being user profiles defined on demand each particular SBI application, we cannot assume existence of labelled datasets training purposes. Thus, propose an unsupervised to obtain required profile classifiers. Contrary other approaches in literature, only make use users’...
The main purpose of Social Business Intelligence is to help companies in making decisions by performing multidimensional analysis the relevant information disseminated on social networks. Although data quality a general issue SBI, few approaches have aimed at assessing it for any collection, being this context dependent task. In paper, we define indicator as metric that serves assess overall and integrates measures obtained several criteria applied filter posts SBI project. selection best...
To assess the attitudes and opinions about generic antiretroviral drugs (ARVs) single-tablet regimen (STR) de-simplification among physicians prescribing HIV treatment in cohort of Spanish HIV/AIDS Research Network (CoRIS).An online questionnaire with 27 structured questions was sent to all (n=199) who prescribed ARVs 45 centres participating cohort.A total 169 (84.9%) answered questionnaire. Only 4.1% would never prescribe ARVs, but 53.3% not them if number pills per day increased 89.3%...
Abstract Objectives We compared 48 week effectiveness and safety of first-line antiretroviral regimens. Methods analysed HIV treatment-naive adults from the Cohort Spanish HIV/AIDS Research Network (CoRIS) starting most commonly used regimens 2014 to 2018. multivariable regression models assess impact initial regimen on: (i) viral suppression (VS) (viral load <50 copies/mL); (ii) change in CD4 cell count; (iii) CD4/CD8 normalization (>0.4 >1); (iv) percentage...