Resources


Database Open Access

MIMIC-IV Waveform Database

Benjamin Moody, Sicheng Hao, Brian Gow, et al.

The MIMIC-IV Waveform Database collects physiological signals and measurements from ICU bedside monitors. Coupled with the clinical information available in MIMIC-IV, it provides a detailed view into the physiology of critically ill patients.

Published: July 10, 2022. Version: 0.1.0

Visualize waveforms

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.

Pretraining of models with a broad representation of biomedical terminology (PubMedBERT) on MIMIC-III corpus along with or without a novel entity-centric masking strategy.

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.

Features and labels from MIMIC-III and eICU-CRD produced by FIDDLE, an EHR preprocessing pipeline.

preprocessing electronic health record machine learning

Published: April 28, 2021. Version: 1.0.0

Database Credentialed Access

MIMIC-III - SequenceExamples for TensorFlow modeling

Jonas Kemp, Kun Zhang, Andrew Dai

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

tensorflow sequence modeling machine learning deep learning

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 numerous physiological signals (including continuous ECG, PPG, ABP, and other signals) and periodic measurements, recorded by bedside patient monitors from about 30,000 patients in intensive care units.

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…

clinical critical care natural language processing intensive care machine learning

Published: Sept. 4, 2016. Version: 1.4

Database Credentialed Access

MIMIC-II Clinical Database

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

Electronic health record data collected from >30,000 patients admitted to ICUs at a single tertiary care hospital.

icu ehr mimic-ii bidmc

Published: April 24, 2011. Version: 2.6.0

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.

A clinician-labeled dataset for fact-checking long-form clinical text against patient EHRs. The dataset contains LLM-written and human-written Brief Hospital Course summaries decomposed to atomic claim and sentence propositions with annotations.

natural language processing clinical informatics formal logic chart review clinical notes text embedding electronic health records 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

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.

CTPA (computed tomography pulmonary angiogram) radiology reports from MIMIC-IV with pulmonary embolism (PE) adjudication

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.

This dataset is an evidence‑grounded benchmark built on MIMIC‑IV discharge summaries that evaluates how well large language models can verify ICD‑10 medical concepts, including implicitly documented diagnoses, by identifying supporting text evidence.

Published: March 23, 2026. Version: 1.0.0