Boosting Clinical Decision-making: Machine Learning for Intensive Care Unit Discharge

Christopher Vincent Cosgriff^{1

2}, Leo Anthony Celi^{1

3}, Christopher Martin Sauer^{1

2}

Affiliations

¹ 1 MIT Critical Data, Cambridge, Massachusetts.
² 2 Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts; and.
³ 3 Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Editorial

Christopher Vincent Cosgriff et al. Ann Am Thorac Soc. 2018 Jul.

. 2018 Jul;15(7):804-805.

doi: 10.1513/AnnalsATS.201803-205ED.

Christopher Vincent Cosgriff^{1

2}, Leo Anthony Celi^{1

3}, Christopher Martin Sauer^{1

2}

¹ 1 MIT Critical Data, Cambridge, Massachusetts.
² 2 Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts; and.
³ 3 Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

No abstract available

Comment on

Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.
Rojas JC, Carey KA, Edelson DP, Venable LR, Howell MD, Churpek MM. Rojas JC, et al. Ann Am Thorac Soc. 2018 Jul;15(7):846-853. doi: 10.1513/AnnalsATS.201710-787OC. Ann Am Thorac Soc. 2018. PMID: 29787309 Free PMC article.