HiRID Preprocessed

License: PhysioNet Contributor Review Health Data License 1.5.0

ID: 11
Sources: PhysioNet
Number of instances: 33905
Number of features: 18
Number of annotated features: 17
Annotated features percentage: 94%

Please cite:

• M. Faltys, M. Zimmermann, X. Lyu, M. Hüser, S. Hyland, G. Rätsch, and T. Merz. HiRID, a high time-resolution ICU dataset. PhysioNet, 2021", “S. L. Hyland, M. Faltys, M. Hüser, X. Lyu, T. Gumbsch, C. Esteban, C. Bock, M. Horn, M. Moor, B. Rieck, et al. Early prediction of circulatory failure in the intensive care unit using machine learning. Nature medicine, 26(3):364–373, 2020
• A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation, 101(23): 215–220, 2000.