Predicting Acute Hypotensive Episodes on MIMIC-II Data

Subsequent open access datasets have been collected from the Predicting Acute Hypotensive Episodes - The PhysiopNet Computing in Cardiology Challenge2009-website, preprocessed, and visualized with plotly. Filter steps include the search for joint feature vectors (over all data sets), outlier removal, simple interpolation of missing values, and an harmonization of sample rates used.

Training data

C1-group

C2-group

H1-group

H2-group

Test data

A-group

B-group

References

Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation. 2000 Jun 13;101(23):E215-20. doi: 10.1161/01.cir.101.23.e215. PMID: 10851218.

Lee J, Scott DJ, Villarroel M, Clifford GD, Saeed M, Mark RG. Open-access MIMIC-II database for intensive care research. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8315-8. doi: 10.1109/IEMBS.2011.6092050. PMID: 22256274; PMCID: PMC6339457.

Saeed M, Villarroel M, Reisner AT, Clifford G, Lehman LW, Moody G, Heldt T, Kyaw TH, Moody B, Mark RG. Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database. Crit Care Med. 2011 May;39(5):952-60. doi: 10.1097/CCM.0b013e31820a92c6. PMID: 21283005; PMCID: PMC3124312.