ArticleJournal of biomedical semantics2012
Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes.
Article in Journal of biomedical semantics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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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.
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Who cites it
51 citing papers in PubMed, 101 citations in OpenAlex.
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- AI-Enhanced Qualitative Analysis in Healthcare: Unlocking Insight from Interviews of Leadership at Top-Performing Academic Medical Centers.Healthcare (Basel, Switzerland) · 2026Article
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.Patterns (New York, N.Y.) · 2021Article
- DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Biobanks in the era of big data: objectives, challenges, perspectives, and innovations for predictive, preventive, and personalised medicine.The EPMA journal · 2020Review
- Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive Models.JMIR medical informatics · 2020Article
- Graph embedding on biomedical networks: methods, applications and evaluations.Bioinformatics (Oxford, England) · 2020Article
- Deep representation learning of electronic health records to unlock patient stratification at scale.NPJ digital medicine · 2020Article
- Symptom-based patient stratification in mental illness using clinical notes.Journal of biomedical informatics · 2019Article
- Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.Circulation. Cardiovascular quality and outcomes · 2019Article
- Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models.Annual review of biomedical data science · 2018Article
- Performing an Informatics Consult: Methods and Challenges.Journal of the American College of Radiology : JACR · 2018Article
- Review
- Design of an extensive information representation scheme for clinical narratives.Journal of biomedical semantics · 2017Article
- Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.Yearbook of medical informatics · 2017Review
- Predictive modeling of risk factors and complications of cataract surgery.European journal of ophthalmology · 2016Article
- Temporal bone radiology report classification using open source machine learning and natural langue processing libraries.BMC medical informatics and decision making · 2016Article
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 at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe electronic surveillance for adverse drug events is largely based upon the analysis of coded data from reporting systems. Yet, the vast majority of electronic health data lies embedded within the free text of clinical notes and is not gathered into centralized repositories. With the increasing access to large volumes of electronic medical data-in particular the clinical notes-it may be possible to computationally encode and to test drug safety signals in an active manner.
resultsWe describe the application of simple annotation tools on clinical text and the mining of the resulting annotations to compute the risk of getting a myocardial infarction for patients with rheumatoid arthritis that take Vioxx. Our analysis clearly reveals elevated risks for myocardial infarction in rheumatoid arthritis patients taking Vioxx (odds ratio 2.06) before 2005.
conclusionsOur results show that it is possible to apply annotation analysis methods for testing hypotheses about drug safety using electronic medical records.
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.