Discussion of: Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning

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No authors listed. Am J Surg. 2018 Mar.

. 2018 Mar;215(3):417-418.

doi: 10.1016/j.amjsurg.2018.01.051.

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Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning.
Cobb AN, Daungjaiboon W, Brownlee SA, Baldea AJ, Sanford AP, Mosier MM, Kuo PC. Cobb AN, et al. Am J Surg. 2018 Mar;215(3):411-416. doi: 10.1016/j.amjsurg.2017.10.027. Epub 2017 Nov 7. Am J Surg. 2018. PMID: 29126594 Free PMC article.

Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning.
Cobb AN, Daungjaiboon W, Brownlee SA, Baldea AJ, Sanford AP, Mosier MM, Kuo PC. Cobb AN, et al. Am J Surg. 2018 Mar;215(3):411-416. doi: 10.1016/j.amjsurg.2017.10.027. Epub 2017 Nov 7. Am J Surg. 2018. PMID: 29126594 Free PMC article.
Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients.
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[Occupational disease of tree-tappers of the Landes Forest, Ocular burn by sulfuric acid].
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Adopting public values and climate change adaptation strategies in urban forest management: A review and analysis of the relevant literature.
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