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Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study. [PDF]
Milkov S +10 more
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Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol. [PDF]
Wu F, Soun B, Zhan B, Morton A, Yi S.
europepmc +1 more source
Semi-automatic terminology ontology learning based on topic modeling [PDF]
Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3.0) application. However, the challenge in ontology engineering is automatic learning, i.e., the there is still a lack of ...
Monika Rani, O P Vyas
exaly +3 more sources
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Acute sinusitis: topical issues of terminology and diagnosis
Vestnik otorinolaringologii, 2021To analyze and summarize data on terminology, etiology, diagnostic criteria for acute sinusitis.Publications (articles and related abstracts) submitted to the PubMed database. The choice of material was carried out, according to the keywords: cold, acute viral sinusitis, acute bacterial sinusitis, post-viral sinusitis, acute respiratory viral infection,
E V, Nosulya +3 more
openaire +2 more sources
Query Behavior: The Impact of Health Literacy, Topic Familiarity and Terminology
Lecture Notes in Computer Science, 2013We conducted a user study to analyze how health literacy, topic familiarity and the terminology used in past queries affect query behavior in health searches. We found that users with inadequate health literacy have less success in web searches and show more difficulties in query formulation.
Carla Teixeira Lopes +2 more
exaly +2 more sources
Abstract Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health ...
Carla Teixeira Lopes, Cristina Ribeiro
exaly +3 more sources
Probabilistic Topic Models for Learning Terminological Ontologies
IEEE Transactions on Knowledge and Data Engineering, 2010Probabilistic topic models were originally developed and utilized for document modeling and topic extraction in Information Retrieval. In this paper, we describe a new approach for automatic learning of terminological ontologies from text corpus based on such models.
Wei Wang 0042 +2 more
openaire +3 more sources

