MIMIC-IV, a freely accessible electronic health record dataset
Explore this paper's citation graph
Summary
MIMIC-IV is a publicly available database sourced from the electronic health record of the Beth Israel Deaconess Medical Center intended to support a wide array of research studies and educational material, helping to reduce barriers to conducting clinical research.
- Type
- article
- Published
- 2023-01-03
- Cited by
- 3,425
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W4313439128
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:255439889
Keywords
Electronic health record, Computer science, Health records, Information retrieval, World Wide Web
References
- Best Practices for Scientific Computing
- A database to support development and evaluation of intelligent intensive care monitoring
- Common Format and MIME Type for Comma-Separated Values (CSV) Files
- MIMIC-III, a freely accessible critical care database
- The MIMIC Code Repository: enabling reproducibility in critical care research
- The eICU Collaborative Research Database, a freely available multi-center database for critical care research
- Alive or dead: Validity of the Social Security Administration Death Master File after 2011
- PIC, a paediatric-specific intensive care database
- Early prediction of circulatory failure in the intensive care unit using machine learning
- Deidentification of free-text medical records using pre-trained bidirectional transformers
- Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
- MIMIC-IV-ED
- MIT-LCP/mimic-code: MIMIC Code v1.4.2
- MIMIC-III Clinical Database CareVue subset
- MIMIC-IV
- PhysioBank, PhysioToolkit, and PhysioNet
- Automated de-identification of free-text medical records
- Automated De-Identification of Free-Text Medical Records
- Physionet: components of a new research resource for complex physiologic signals
- Multiparameter Intelligent Monitoring in Intensive Care Ii (Mimic-Ii): A Public-Access Intensive Care Unit Database
Cited by
- GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning
- MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
- MIMIC-IV on FHIR: converting a decade of in-patient data into an exchangeable, interoperable format
- Prognostic implication of lactic dehydrogenase-to-albumin ratio in critically ill patients with acute kidney injury
- A new criteria for acute on preexisting kidney dysfunction in critically ill patients
- MOVER: Medical Informatics Operating Room Vitals and Events Repository
- NN50 and pNN50, two time-domain heart rate variability parameters were associated with 30-day all-cause mortality in patients admitted to intensive care unit: A Retrospective Study of the MIMIC-IV Database
- EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
- Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
- Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study
- Development and validation of a prediction model for the early occurrence of acute kidney injury in patients with acute pancreatitis
- Impact of Cardiac Troponin Release and Fluid Resuscitation on Outcomes of Patients with Sepsis
- Synthetic Data in Healthcare
- Foundation models for generalist medical artificial intelligence
- Acute heart failure patients with a high red blood cell distribution width-to-albumin ratio have an increased risk of all-cause mortality
- Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
- Undersampling for Fairness: Achieving More Equitable Predictions in Diabetes and Prediabetes
- IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
- Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling
- HEART RATE VARIABILITY PARAMETERS WERE NOT ASSOCIATED WITH 30-DAY ALL-CAUSE MORTALITY IN INTENSIVE CARE UNIT PATIENTS WITH OR WITHOUT ATRIAL FIBRILLATION: A RETROSPECTIVE STUDY OF THE MIMIC-IV DATABASE
Related papers
- Electronic health record.
- Changes in Electronic Health Record Use Time and Documentation over the Course of a Decade
- RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
- More pediatricians using EHR systems
- The impact of limited access to digital health records on doctors and their willingness to adopt electronic health record systems
- Using electronic health records for clinical trials: Where do we stand and where can we go?
- Using Electronic Health Records (EHR) to Improve Depression Screening in Adolescence- a QI Project
- A Deep Learning Approach to Predicting Diagnosis Code from Electronic Health Records
- Electronic health records: current issues in oncology.