dc.contributor.author | Johnson, Alistair Edward William | |
dc.contributor.author | Mark, Roger G | |
dc.date.accessioned | 2019-12-04T22:41:19Z | |
dc.date.available | 2019-12-04T22:41:19Z | |
dc.date.issued | 2018-04 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/123113 | |
dc.description.abstract | Real-time prediction of mortality for intensive care unit patients has the potential to provide physicians with a simple and easily interpretable synthesis of patient acuity. Here we extract data from a random time during each patient’s ICU stay. We believe this sampling scheme allows for the application of the model(s) across a future patient’s entire ICU stay. The AUROC of a Gradient Boosting model was high (AUROC=0.920), even though no information about diagnosis or comorbid burden was utilized. We also compare models using data from the first 24 hours of a patient’s stay against published severity of illness scores, and find the Gradient Boosting model greatly outperformed the frequently used Simplified Acute Physiology Score II (AUROC = 0.927 vs. 0.809). We nuance this performance with comparison to the literature, provide our interpretation, and discuss potential avenues for improvement. | en_US |
dc.publisher | American Medical Informatics Association | en_US |
dc.relation.isversionof | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977709/ | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | Prof. Mark via Courtney Crummett | en_US |
dc.title | Real-time mortality prediction in the Intensive Care Unit | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Johnson, Alistair E. W. and Roger G. Mark. "Real-time mortality prediction in the Intensive Care Unit." AMIA Annual Symposium Proceedings (2017): 994-1003 © 2017 AMIA | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.relation.journal | AMIA Annual Symposium Proceedings | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dspace.date.submission | 2019-12-02T16:31:48Z | |