An ontology-enabled natural language processing pipeline for provenance metadata extraction from biomedical text (short paper)

J Valdez, M Rueschman, M Kim, S Redline… - On the Move to …, 2016 - Springer
Extraction of structured information from biomedical literature is a complex and challenging
problem due to the complexity of biomedical domain and lack of appropriate natural …

An annotated corpus of clinical trial publications supporting schema-based relational information extraction

O Sanchez-Graillet, C Witte, F Grimm… - Journal of Biomedical …, 2022 - Springer
Background The evidence-based medicine paradigm requires the ability to aggregate and
compare outcomes of interventions across different trials. This can be facilitated and partially …

NLP techniques associated with the OpenGALEN ontology for semi-automatic textual extraction of medical knowledge: abstracting and mapping equivalent linguistic …

MB do Amaral, A Roberts, AL Rector - Proceedings of the AMIA …, 2000 - ncbi.nlm.nih.gov
This research project presents methodological and theoretical issues related to the inter-
relationship between linguistic and conceptual semantics, analysing the results obtained by …

[PDF][PDF] Scoring Semantic Annotations Returned by The NCBO Annotator.

S Melzi, C Jonquet - SWAT4LS, 2014 - lirmm.fr
Semantic annotation using biomedical ontologies is required to enable data integration,
interoperability, indexing and mining of biomedical data. When used to support semantic …

Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

MG Kersloot, FJP van Putten, A Abu-Hanna… - Journal of biomedical …, 2020 - Springer
Background Free-text descriptions in electronic health records (EHRs) can be of interest for
clinical research and care optimization. However, free text cannot be readily interpreted by a …

Ontology design for biomedical text mining

R Witte, T Kappler, CJO Baker - … knowledge discovery in the life sciences, 2007 - Springer
Text Mining in biology and biomedicine requires a large amount of domain-specific
knowledge. Publicly accessible resources hold much of the information needed, yet their …

[HTML][HTML] A computational ecosystem to support ehealth knowledge discovery technologies in spanish

A Piad-Morffis, Y Gutiérrez, Y Almeida-Cruz… - Journal of biomedical …, 2020 - Elsevier
The massive amount of biomedical information published online requires the development
of automatic knowledge discovery technologies to effectively make use of this available …

A socio-technical approach to trustworthy semantic biomedical content generation and sharing

A Abbas, T Hameed, F Keshtkar, S Kadry… - Information …, 2024 - Elsevier
The rapid growth of online biomedical content has presented a notable challenge in
delivering timely and precise semantic annotations. Semantic annotations play a crucial role …

Application of an automated natural language processing (NLP) workflow to enable federated search of external biomedical content in drug discovery and …

R McEntire, D Szalkowski, J Butler, MS Kuo… - Drug discovery today, 2016 - Elsevier
Highlights•Medline, ClinicalTrials. gov and other sites offer search portal access to the latest
information.•The limited synonyms on the portals hinder efficient and effective searches.•An …

[HTML][HTML] Retrieval of radiology reports citing critical findings with disease-specific customization

R Lacson, N Sugarbaker, LM Prevedello… - The open medical …, 2012 - ncbi.nlm.nih.gov
Background: Communication of critical results from diagnostic procedures between
caregivers is a Joint Commission national patient safety goal. Evaluating critical result …