A5087958792- Semantic Web and Ontologies
- Big Data and Business Intelligence
- Service-Oriented Architecture and Web Services
- Technology Assessment and Management
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare and Education
- Advanced Text Analysis Techniques
- Psychosomatic Disorders and Their Treatments
- Innovation and Knowledge Management
- Machine Learning in Healthcare
- Telemedicine and Telehealth Implementation
- Natural Language Processing Techniques
- scientometrics and bibliometrics research
- Discourse Analysis and Cultural Communication
- Healthcare Systems and Technology
- Competitive and Knowledge Intelligence
- Medical and Biological Sciences
- Biomedical Text Mining and Ontologies
- Migraine and Headache Studies
- Mobile Health and mHealth Applications
- Computational Drug Discovery Methods
- Research Data Management Practices
- Innovation Diffusion and Forecasting
- Cybercrime and Law Enforcement Studies
- Advanced Computational Techniques and Applications
National Research University Higher School of Economics
2010-2018
Abstract Background In this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories real-world information, Digital Listening enables the systematic collection analysis patient voices through advanced technologies. Semantic-NLP artificial intelligence, with its ability to process extract meaningful insights from large volumes unstructured data, represents a novel approach...
A novel domain-independent approach to technology trend monitoring is presented in the paper. It based on ontology of a trend, hype cycles methodology, and semantic indicators which provide evidence maturity level technology. This forms basis for implementation text-mining software tools. Algorithms behind these tools allow users escape from getting too general or garbage results make it impossible identify promising technologies at early stages (early detection, weak signals). Besides,...
Migraine is the second leading cause of maladjustment, and burden migraine determined by its impact on work ability, social activity family relationships. Objective: to identify patterns behavior Russian patients with migraine, factors affecting their quality life, level awareness disease based a semantic analysis messages in Web 2.0. Patients methods. The study results processing (automated natural language texts, taking into account meaning) anonymized from 6566 unique authors (patients...
<h3></h3> В настоящее время один из основных трендов цифровизации здравоохранения — использование методов и средств искусственного интеллекта (ИИ) новых информационных технологий для поддержки принятия решений в данной области. При этом части медицинских все больше внимания уделяется пациентоориентированному подходу. статье систематизированы методы средства ИИ применительно к здравоохранению фармацевтической отрасли, идентифицированы новые термины контексте реалий с учетом возникающих задач,...
To study the needs of patients suffering from multiple sclerosis (MS) in Russia.The technologies Big Data analysis and intelligent processing unstructured information (semantic natural language texts), developed by Semantic Hub were used. platform scans digital environment to connect sources interest collect data potential (i.e. texts generated their caregivers, anonymized form). As next step, each text is analyzed using understanding build knowledge base with aggregated data.The semantic...