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SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries.

, , , , , , , , , and . Int. J. Medical Informatics, (2019)

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Physiological trajectory of patients pre and post ICU discharge1., , , , , , and . EMBC, page 3160-3163. IEEE, (2014)Reproducibility in critical care: a mortality prediction case study., , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 361-376. PMLR, (2017)SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries., , , , , , , , , and . Int. J. Medical Informatics, (2019)MIMIC-CXR: A large publicly available database of labeled chest radiographs., , , , , , , and . CoRR, (2019)Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database., , , , , and . CinC, www.cinc.org, (2016)Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited., , and . CinC, page 157-160. www.cinc.org, (2014)Deidentification of free-text medical records using pre-trained bidirectional transformers., , and . CHIL, page 214-221. ACM, (2020)Analyzing the eICU Collaborative Research Database., , , and . BCB, page 631. ACM, (2017)Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph., , , , , , and . npj Digit. Medicine, (2021)AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017., , , , , , , and . CinC, www.cinc.org, (2017)