full name: High Time Resolution ICU Dataset
Faltys, M., Zimmermann, M., Lyu, X., Hüser, M., Hyland, S., Rätsch, G., & Merz, T. (2021). HiRID, a high time-resolution ICU dataset (version 1.1.1). PhysioNet. https://doi.org/10.13026/nkwc-js72.
Original publication: https://doi.org/10.1038/s41591-020-0789-4 Hyland, S.L., Faltys, M., Hüser, M. et al. Early prediction of circulatory failure in the intensive care unit using machine learning. Nat Med 26, 364–373 (2020). https://doi.org/10.1038/s41591-020-0789-4
https://www.google.com/maps/embed?pb=!1m18!1m12!1m3!1d12980.507063561856!2d7.410299974789735!3d46.94639013702268!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x478e39a4222f9121%3A0xbc97941441cc5046!2sInselspital%2C Universitätsspital Bern!5e1!3m2!1sde!2sde!4v1736764119257!5m2!1sde!2sde
Laboratory values are already mapped to LOINC measurements. Vital, respiratory and intake/output parameters are mapped in TIMESERIES_VITALS, TIMESERIES_RESPIRATORY and TIMESERIES_INTAKEOUTPUT respectively.