Results 161 to 170 of about 90,813 (262)
Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation. [PDF]
J Biomed Discov Collab, 2016 Smalheiser NR, Bonifield G.
europepmc +1 more source
Applications of large‐scale artificial intelligence models in bioinformatics
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
wiley +1 more source
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
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Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks
Computational Intelligence, Volume 42, Issue 3, June 2026.ABSTRACT Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single‐cell RNA sequencing (scRNA‐seq) data to predict COVID‐19 disease states. In this study, we propose an explainable graph attention capsule network (GACapNet), which extracts and fuses Severe Acute Respiratory Syndrome ...
Runjie Zhu +4 more
wiley +1 more source
Feature Engineering for Domain Independent Named Entity Recognition and Biomedical Text Mining Applications [PDF]
, 2008 Szarvas György
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Health Expectations, Volume 29, Issue 3, June 2026.ABSTRACT Introduction Achieving long‐term behavioural change in chronic disease management, particularly in chronic obstructive pulmonary disease (COPD), remains a significant challenge. Although maintenance programmes have been developed to extend the benefits of pulmonary rehabilitation, patient adherence is often comperomised by persistent symptoms,
Espérance Moine +4 more
wiley +1 more source
@Note2 open-source computational tools for biomedical text mining [PDF]
, 2015 Costa, Hugo, Rocha, Miguel
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Journal of Medical Virology, Volume 98, Issue 5, May 2026.ABSTRACT Sexually transmitted infections (STIs) remain a major global health threat. A comprehensive assessment of their epidemiological features and future trajectories is essential for informing targeted public health policies and achieving international control targets.
Baigong Feng +5 more
wiley +1 more source