About this dataset

The most common cause of death for patients admitted to a intensive care unit (ICU) is a clinical condition known as the multiple organ dysfunction syndrome (MODS), multi-organ failure, multiple systems organ failure, or through some of its more prominent manifestations, as the acute respiratory distress syndrome (ARDS) or disseminated intravascular coagulation (DIC), MODS is as poorly understood as it is prevalent.

This dataset contains data from 61 patients that entered the ICU due to trauma related reasons with 196 variables from physiological signals to severity scores (i.e NISS: New Injury Severity Score). The target variable (named label) is fairly balanced for outcomes of development of Multi Organ Failure or its absence.

How to use this dataset

• Create a Multi Organ Failure classifier.

• Explore variable importance on Multi Organ Failure outcomes.

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Acknowledgements

If you use this dataset in your research, please credit the authors

Citation

Hazeldine, J. et al. Prehospital immune responses and development of multiple organ dysfunction syndrome following traumatic injury: A prospective cohort study. PLoS Med. 14, e1002338 (2017).

Bravo-Merodio, L., Acharjee, A., Hazeldine, J. et al. Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction. Sci Data 6, 328 (2019). https://doi.org/10.1038/s41597-019-0337-6

License

CC BY 4.0

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