ArticleProceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting2016
Bidirectional RNN for Medical Event Detection in Electronic Health Records.
Article in Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 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
97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 302 citations in OpenAlex.
- The Use of Artificial Intelligence in Pharmacovigilance: A Systematic Review of the Literature.Pharmaceutical medicine · 2022Pooled it
- Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- AI-Based Automation for Medication Reconciliation: Scoping Review.Journal of medical Internet research · 2026Article
- Multimodal-based auxiliary diagnosis for pediatric community acquired pneumonia.Scientific reports · 2025Article
- Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions.Mayo Clinic proceedings. Digital health · 2025Article
- Cognition and behavior in neurofibromatosis type 1: report and perspective from the Cognition and Behavior in NF1 (CABIN) Task Force.Genes & development · 2025Article
- Predicting Drugs Suspected of Causing Adverse Drug Reactions Using Graph Features and Attention Mechanisms.Pharmaceuticals (Basel, Switzerland) · 2024Article
- BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers.Sensors (Basel, Switzerland) · 2023Article
- Contextualized medication information extraction using Transformer-based deep learning architectures.Journal of biomedical informatics · 2023Article
- Medical image analysis using deep learning algorithms.Frontiers in public health · 2023Review
- Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.PloS one · 2023Article
- Trends in using deep learning algorithms in biomedical prediction systems.Frontiers in neuroscience · 2023Article
- iADRGSE: A Graph-Embedding and Self-Attention Encoding for Identifying Adverse Drug Reaction in the Earlier Phase of Drug Development.International journal of molecular sciences · 2022Article
- Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership.JMIR formative research · 2022Article
- Weakly Semi-supervised phenotyping using Electronic Health records.Journal of biomedical informatics · 2022Article
- Transformer- and Generative Adversarial Network-Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study.JMIR medical informatics · 2022Article
- BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches.Briefings in bioinformatics · 2022Article
- A Context-Enhanced De-identification System.ACM transactions on computing for healthcare · 2022Article
- A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting.Computational intelligence and neuroscience · 2022Article
- Computational Approaches for Acute Traumatic Brain Injury Image Recognition.Frontiers in neurology · 2022Review
37 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
2 authors at 2 institutions in 1 country.
Funding
Abstract
Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs. It has important applications in health informatics including pharmacovigilance and drug surveillance. The state of the art supervised machine learning models in this domain are based on Conditional Random Fields (CRFs) with features calculated from fixed context windows. In this application, we explored recurrent neural network frameworks and show that they significantly out-performed the CRF models.
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.