# Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

arXiv: https://arxiv.org/abs/1606.07953 · HTML: https://mlsanity.com/paper/1606.07953/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Jun 2016.

## Built on by (most cited first, 20 of 20)

- [Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review](https://mlsanity.com/paper/2107.02975/) (2021)
- [The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation](https://mlsanity.com/paper/2306.06918/) (2023)
- [Natural Language Processing for Smart Healthcare](https://mlsanity.com/paper/2110.15803/) (2021)
- [TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study](https://mlsanity.com/paper/2105.09632/) (2021)
- [Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures](https://mlsanity.com/paper/2303.08259/) (2023)
- [Concept Extraction for Time Series with ECLAD-ts](https://mlsanity.com/paper/2504.05024/) (2025)
- [Automated SNOMED CT Concept Annotation in Clinical Text Using Bi-GRU Neural Networks](https://mlsanity.com/paper/2508.02556/) (2025)
- [An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning](https://mlsanity.com/paper/2211.14539/) (2022)
- [A Semantic Modular Framework for Events Topic Modeling in Social Media](https://mlsanity.com/paper/2301.09009/) (2023)
- [MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection](https://mlsanity.com/paper/2305.09335/) (2023)
- [Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks](https://mlsanity.com/paper/2312.02387/) (2023)
- [Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment](https://mlsanity.com/paper/2112.13756/) (2021)
- [Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series](https://mlsanity.com/paper/2201.09907/) (2022)
- [A Deep Learning Approach to Detect Lean Blowout in Combustion Systems](https://mlsanity.com/paper/2208.01871/) (2022)
- [EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data](https://mlsanity.com/paper/2211.08077/) (2022)
- [Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge](https://mlsanity.com/paper/2303.16751/) (2023)
- [Effective Medical Code Prediction via Label Internal Alignment](https://mlsanity.com/paper/2305.05162/) (2023)
- [Resource-Efficient Fine-Tuning of LLaMA-3.2-3B for Medical Chain-of-Thought Reasoning](https://mlsanity.com/paper/2510.05003/) (2025)
- [Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text](https://mlsanity.com/paper/2605.29076/) (2026)
- [Language Specificity vs. Domain Diversity: Benchmarking Transformers for Bangla Medical NER](https://mlsanity.com/paper/2609.29101/) (2026)

## Abstract (arXiv)

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 various recurrent neural network frameworks and show that they significantly outperformed the CRF models.