MOVER: Medical Informatics Operating Room Vitals and Events Repository
Linked on 9/8/2023
This first release of MOVER includes adult patients who underwent surgery at the University of California Irvine Medical Center from 2015 to 2022. Data for patients who underwent surgery were captured from two different sources: High-fidelity physiological waveforms from all of the operating rooms were captured in real time and matched with Electronic Medical Record Data. MOVER includes data from 58,799 unique patients and 83,468 surgeries. The dataset is freely available to all researchers who sign a data usage agreement.
Dataset Characteristics
Tabular, Sequential, Multivariate, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification, Regression, Clustering, Other
Feature Type
-
# Instances
83468
# Features
-
Dataset Information
Has Missing Values?
No
Introductory Paper
By M. Samad, J. Rinehart, M. Angel, Y. Kanomata, P. Baldi, M. Cannesson. 2023
Published in JAMIA Open
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset mover_medical_informatics_operating_room_vitals_and_events_repository = fetch_ucirepo(id=877) # data (as pandas dataframes) X = mover_medical_informatics_operating_room_vitals_and_events_repository.data.features y = mover_medical_informatics_operating_room_vitals_and_events_repository.data.targets # metadata print(mover_medical_informatics_operating_room_vitals_and_events_repository.metadata) # variable information print(mover_medical_informatics_operating_room_vitals_and_events_repository.variables)
MOVER: Medical Informatics Operating Room Vitals and Events Repository [Dataset]. (2023). UCI Machine Learning Repository. https://doi.org/10.24432/C5VS5G.
Citations/Acknowledgements
If you use this dataset, please follow the acknowledgment policy on the original dataset website.