An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study

An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study

IntroductionMortality risk prediction is an important part of the clinical assessment in the Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) patient. The SCORTEN and ABCD-10 scoring systems have been used as predictive clinical tools for assessing this risk. However, some of the me...

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Bibliographic Details
Main Authors: Omar Shareef, James T. Kwan, Sarina Lau, Mohammad Ali Tahboub, Hajirah N. Saeed
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Medicine
Subjects:
Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) (SJS/TEN)
machine learning
random forest (bagging) and machine learning
SCORTEN score
mortality risk
ABCD
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.935408/full

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https://www.frontiersin.org/articles/10.3389/fmed.2022.935408/full

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