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Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals.
Burdick H, Pino E, Gabel-Comeau D, McCoy A, Gu C, Roberts J, Le S, Slote J, Pellegrini E, Green-Saxena A, Hoffman J, Das R. Burdick H, et al. Among authors: gabel comeau d. BMJ Health Care Inform. 2020 Apr;27(1):e100109. doi: 10.1136/bmjhci-2019-100109. BMJ Health Care Inform. 2020. PMID: 32354696 Free PMC article.
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.
Burdick H, Pino E, Gabel-Comeau D, Gu C, Roberts J, Le S, Slote J, Saber N, Pellegrini E, Green-Saxena A, Hoffman J, Das R. Burdick H, et al. Among authors: gabel comeau d. BMC Med Inform Decis Mak. 2020 Oct 27;20(1):276. doi: 10.1186/s12911-020-01284-x. BMC Med Inform Decis Mak. 2020. PMID: 33109167 Free PMC article.