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Communication
Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

Authors

  • Jason H Maley Center for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USAInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Kerollos N Wanis Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Jessica G Young Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USADepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Leo A Celi Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USADivision of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Jason H Maley; jmaley{at}bidmc.harvard.edu

Citation

Maley JH, Wanis KN, Young JG, et al
Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit
BMJ Health & Care Informatics 2020;27:e100220. doi: 10.1136/bmjhci-2020-100220

Publication history

  • Received August 5, 2020
  • Accepted October 5, 2020
  • First published October 26, 2020.
Online issue publication 
April 26, 2022

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.