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Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.
Mohamadlou H, Panchavati S, Calvert J, Lynn-Palevsky A, Le S, Allen A, Pellegrini E, Green-Saxena A, Barton C, Fletcher G, Shieh L, Stark PB, Chettipally U, Shimabukuro D, Feldman M, Das R. Mohamadlou H, et al. Health Informatics J. 2020 Sep;26(3):1912-1925. doi: 10.1177/1460458219894494. Epub 2019 Dec 30. Health Informatics J. 2020. PMID: 31884847 Free article.
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. 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. 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.
26 results