Resources
44 results for "natural language processing"
Database
Credentialed Access
MIMIC-Ext-SynNotes: Large-Scale Synthetic Clinical Notes via Rephrasing MIMIC-III/IV with LLMs
MIMIC-III and MIMIC-IV are foundational resources for clinical NLP, but their scale is modest relative to the data volumes needed to train language models. Building on recent advances in synthetic data generation through LLM-based rephrasing, we con…
Database
Credentialed Access
MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation
The VeriFact-BHC dataset is designed to verify the factuality of long-form text written about a patient against their own electronic health record. There is increasing interest in using large language models (LLMs) to generate clinical text in patie…
natural language processing
clinical informatics
formal logic
chart review
text embedding
artificial intelligence
brief hospital course
long-form text
llm evaluation
logical atomism
retrieval-augmented generation
text reranking
clinical medicine
atomic claim
fact verification
hybrid retrieval
llm-as-a-judge
large language models
electronic health records
clinical notes
Database
Credentialed Access
MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization
This dataset presents a curated collection of preprocessed and labeled clinical notes derived from the MIMIC-IV-Note database. The primary aim of this resource is to facilitate the development and training of machine learning models focused on summa…
Database
Restricted Access
CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation
CXRGraph is a dataset of structured radiology reports dataset following the RadGraph format, which has been tailored for the Automatic Radiology Report Generation (ARRG) task. CXRGraph assorts clinical information from full-text radiology reports in…
Database
Credentialed Access
MedDec: Medical Decisions for Discharge Summaries in the MIMIC-III Database
Medical decisions directly impact individuals’ health and well-being. Extracting decision spans from clinical notes plays a crucial role in understanding medical decision-making processes. The MedDec dataset includes expert-annotated decisions of te…
Database
Credentialed Access
CORAL: expert-Curated medical Oncology Reports to Advance Language model inference
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented within clinical notes. As large language models (LLMs) are becoming more …
Database
Credentialed Access
RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives
RadCoref is a small subset of MIMIC-CXR with manually annotated coreference mentions and clusters. The dataset is annotated by a panel of three cross-disciplinary experts with experience in clinical data processing following the i2b2 annotation sche…
Database
Credentialed Access
Annotation dataset of social determinants of health from MIMIC-III Clinical Care Database
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language models to extract SDoH from free text in E…
Challenge
Credentialed Access
BioNLP Workshop 2023 Shared Task 1A: Problem List Summarization
Automatically summarizing patients’ main problems from the daily care notes in the electronic health record can help mitigate information and cognitive overload for clinicians and provide augmented intelligence via computerized diagnostic decision s…
Model
Credentialed Access
Characterization of Stigmatizing Language in Medical Records
Widespread disparities in clinical outcomes exist between different demographic groups in the United States. A new line of work in medical sociology has demonstrated physicians often use stigmatizing language in electronic medical records within cer…