|
gptkbp:instanceOf
|
gptkb:database
|
|
gptkbp:access
|
gptkb:CITI_training
data use agreement
|
|
gptkbp:citation
|
Johnson AEW, Pollard TJ, Shen L, et al. MIMIC-IV (version 2.0). PhysioNet. 2022.
|
|
gptkbp:contains
|
census
electronic health records
laboratory measurements
prescriptions
diagnosis codes
ICU data
de-identified health data
imaging reports
medication records
vital signs
procedure codes
clinical notes
ICU stay data
hospital admission data
hospital stay data
microbiology results
|
|
gptkbp:coversPeriod
|
2008-2019
|
|
gptkbp:format
|
gptkb:PostgreSQL
CSV
Parquet
|
|
gptkbp:fullName
|
gptkb:Medical_Information_Mart_for_Intensive_Care_IV
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MIMIC-IV
|
|
gptkbp:language
|
English
|
|
gptkbp:license
|
open access (with restrictions)
|
|
gptkbp:location
|
gptkb:Boston,_Massachusetts,_USA
|
|
gptkbp:maintainedBy
|
gptkb:MIT_Laboratory_for_Computational_Physiology
|
|
gptkbp:numberOfICUStays
|
over 70,000
|
|
gptkbp:numberOfPatients
|
over 380,000
|
|
gptkbp:predecessor
|
gptkb:MIMIC-III
|
|
gptkbp:provides
|
gptkb:Beth_Israel_Deaconess_Medical_Center
|
|
gptkbp:relatedTo
|
gptkb:MIMIC-CXR
gptkb:eICU_Collaborative_Research_Database
gptkb:MIMIC-III
|
|
gptkbp:releaseYear
|
2020
|
|
gptkbp:targetAudience
|
gptkb:researchers
students
clinicians
data scientists
|
|
gptkbp:type
|
structured data
unstructured data
|
|
gptkbp:usedFor
|
gptkb:machine_learning
epidemiology
natural language processing
clinical research
medical informatics
outcomes research
|
|
gptkbp:website
|
https://physionet.org/content/mimiciv/
|
|
gptkbp:bfsParent
|
gptkb:MIMIC_database
|
|
gptkbp:bfsLayer
|
6
|