Resources

165 results for "mimic"

Model Credentialed Access

EntityBERT: BERT-based Models Pretrained on MIMIC-III with or without Entity-centric Masking Strategy for the Clinical Domain

Chen Lin, Steven Bethard, Guergana Savova, et al.

Transformer-based neural language models have led to breakthroughs for a variety of natural language processing (NLP) tasks. However, most models are pretrained on general domain data. We propose a methodology to produce a model focused on the clini…
Published: March 17, 2022. Version: 1.0.1
Database Credentialed Access

MIMIC-III and eICU-CRD: Feature Representation by FIDDLE Preprocessing

Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.

This is a preprocessed dataset derived from patient records in MIMIC-III and eICU, two large-scale electronic health record (EHR) databases. It contains features and labels for 5 prediction tasks involving 3 adverse outcomes (prediction times listed…
Published: April 28, 2021. Version: 1.0.0
Database Credentialed Access

MIMIC-III - SequenceExamples for TensorFlow modeling

Jonas Kemp, Kun Zhang, Andrew Dai

This dataset contains TensorFlow SequenceExamples derived from patient records in MIMIC-III, a freely available set of deidentified medical records from critical care patients at Beth Israel Deaconess Medical Center. Each SequenceExample converts da…
Published: Sept. 29, 2020. Version: 1.0.0
Database Open Access

MIMIC-III Waveform Database

Benjamin Moody, George Moody, Mauricio Villarroel, et al.

The MIMIC-III Waveform Database contains 67,830 record sets for approximately 30,000 ICU patients. Almost all record sets include a waveform record containing digitized signals (typically including ECG, ABP, respiration, and PPG, and frequently othe…
Published: April 7, 2020. Version: 1.0 | Visualize waveforms
Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…
Published: Sept. 4, 2016. Version: 1.4
Database Credentialed Access

MIMIC-II Clinical Database

Mohammed Saeed, Mauricio Villarroel, Andrew Reisner, et al.

MIMIC-II documents a diverse and large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records. It establishes a uni…
Published: April 24, 2011. Version: 2.6.0
Database Credentialed Access

MIMIC-IV-Ext Gender-Expansive Patient Stigmatizing Language Annotations

Liyang Xue, Mary Chayko, Vivek Singh

This database supports research on stigmatizing language in clinical documentation concerning gender-expansive patients. It contains expert-reviewed, note-level annotations for 754 deidentified discharge summaries from MIMIC-IV-Note, including 366 n…
Published: Oct. 19, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation

Philip Chung, Akshay Swaminathan, Alex Goodell, et al.

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…
Published: Aug. 27, 2026. Version: 1.1.0
Database Credentialed Access

MIMIC-IV-Ext-PE: Pulmonary Embolism Labels for CT Pulmonary Angiography Radiology Reports

Barbara Lam, Omid Jafari, Peiqi Wang, et al.

Pulmonary embolism (PE) is a leading cause of preventable in-hospital mortality. Advances in diagnosis, risk stratification, and prevention can improve outcomes. Large, publicly available datasets are needed to move research forward but are lacking …
Published: March 23, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext-MedicalBench: Evaluating Large Language Models Towards Improved Medical Concept Extraction

Zhichao Yang, Gregory Lyng, Sanjit Batra, et al.

Medical concept extraction from electronic health records underpins many downstream applications, yet remains challenging because medically meaningful concepts, such as diagnosis, are frequently implied rather than explicitly stated in medical narra…
Published: March 23, 2026. Version: 1.0.0