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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. Among authors: le s. 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. Among authors: le s. 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: le s. 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.
Pediatric Severe Sepsis Prediction Using Machine Learning.
Le S, Hoffman J, Barton C, Fitzgerald JC, Allen A, Pellegrini E, Calvert J, Das R. Le S, et al. Front Pediatr. 2019 Oct 11;7:413. doi: 10.3389/fped.2019.00413. eCollection 2019. Front Pediatr. 2019. PMID: 31681711 Free PMC article.
933 results