ReviewBriefings in bioinformatics2007
Frontiers of biomedical text mining: current progress.
Review in Briefings in bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
102 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Text mining in mosquito-borne disease: A systematic review.Acta tropica · 2022Pooled it
- Current trends in cancer immunotherapy: a literature-mining analysis.Cancer immunology, immunotherapy : CII · 2020Pooled it
- Text mining applications in psychiatry: a systematic literature review.International journal of methods in psychiatric research · 2016Pooled it
- Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling.Bioinformatics (Oxford, England) · 2026Article
- Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.JMIR medical informatics · 2025Article
- Clinical entity augmented retrieval for clinical information extraction.NPJ digital medicine · 2025Article
- Closing the gap between open source and commercial large language models for medical evidence summarization.NPJ digital medicine · 2024Article
- Closing the gap between open-source and commercial large language models for medical evidence summarization.ArXiv · 2024Article
- Relation Extraction in Biomedical Texts Based on Multi-Head Attention Model With Syntactic Dependency Feature: Modeling Study.JMIR medical informatics · 2022Article
- Data-Driven Modeling of Pregnancy-Related Complications.Trends in molecular medicine · 2021Review
- Recent advances in biomedical literature mining.Briefings in bioinformatics · 2021Review
- Text mining approaches for dealing with the rapidly expanding literature on COVID-19.Briefings in bioinformatics · 2021Review
- A transfer learning model with multi-source domains for biomedical event trigger extraction.BMC genomics · 2021Article
- Automatic Annotation of Narrative Radiology Reports.Diagnostics (Basel, Switzerland) · 2020Article
- Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model.Frontiers in human neuroscience · 2020Article
- Pandemics, epidemics, viruses, plagues, and disease: Comparative frequency analysis of a cultural pathology reflected in science fiction magazines from 1926 to 2015.Social sciences & humanities open · 2020Article
- Adverse drug reaction detection via a multihop self-attention mechanism.BMC bioinformatics · 2019Article
- Multiple-level biomedical event trigger recognition with transfer learning.BMC bioinformatics · 2019Article
- Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach.Frontiers in genetics · 2019Article
- Development and validation of the PEPPER framework (Prenatal Exposure PubMed ParsER) with applications to food additives.Journal of the American Medical Informatics Association : JAMIA · 2018Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or 'BioNLP' in general, focusing primarily on papers published within the past year.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.