A5036122100- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Data-Driven Disease Surveillance
- Advanced Database Systems and Queries
- Distributed and Parallel Computing Systems
- Service-Oriented Architecture and Web Services
- Natural Language Processing Techniques
- AI-based Problem Solving and Planning
- Bacillus and Francisella bacterial research
- Peer-to-Peer Network Technologies
- Scientific Computing and Data Management
- Bayesian Methods and Mixture Models
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Model-Driven Software Engineering Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Data Quality and Management
- Viral Infections and Outbreaks Research
- Radiomics and Machine Learning in Medical Imaging
- Explainable Artificial Intelligence (XAI)
- COVID-19 Digital Contact Tracing
- Educational Technology and Assessment
- Constraint Satisfaction and Optimization
- Innovative Teaching and Learning Methods
- COVID-19 epidemiological studies
Stanford Medicine
2002-2006
Stanford University
2000-2005
Vrije Universiteit Amsterdam
2000
Institut national de recherche en informatique et en automatique
1997-1999
As researchers continue to create new languages in the hope of developing a Semantic Web, they still lack consensus on standard. The authors describe how Protege-2000, tool for ontology development and knowledge acquisition, can be adapted editing models different Web languages.
In recent years, public health surveillance has become a priority, driven by concerns of possible bioterrorist attacks and disease outbreaks. Authorities argue that syndromic surveillance, or the monitoring prediagnostic health-related data for early detection nascent outbreaks, is crucial to preventing massive illness death. Syndromic could prevent widespread death, but public-health analysts face many technical barriers. To meet surveillance's complex operational research needs, as part...
The paper discusses the Internet Reasoning Service, a Web-based front end that lets developers prototype knowledge-based applications quickly out of reusable problem-solving resources in distributed libraries.
Our objective is to offer clinicians wider access evolving medical image processing (MIP) techniques, crucial improve assessment and quantification of physiological processes, but difficult handle for non-specialists in MIP. Based on artificial intelligence our approach consists the development a knowledge-based program supervision system, automating management MIP libraries. It comprises library programs, knowledge base capturing expertise about programs data engine. selects, organizes...
published or not.The documents may come from teaching and research institutions in France abroad, public private centers.L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement recherche français étrangers, laboratoires publics privés.
Context: The coronavirus disease 2019 (COVID-19) pandemic devastated societies and economies worldwide. Given the major disruptions to higher education, reflection on university responses COVID-19 may provide insights for future outbreaks. Objective: Here, we describe epidemiology of Emory University campus during 2020-2021 academic year an evaluation performance a university-led program with purpose describing effectiveness efforts augment public health authority’s case investigation...