Predicting Chronic Wound Healing Time Using Machine Learning
Author(s) -
Matthew Berezo,
Joshua Budman,
Daniel Deutscher,
Cathy Thomas Hess,
Kyle Smith,
Deanna Hayes
Publication year - 2021
Publication title -
advances in wound care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 24
eISSN - 2162-1934
pISSN - 2162-1918
DOI - 10.1089/wound.2021.0073
Subject(s) - medicine , demographics , decision tree , machine learning , receiver operating characteristic , chronic wound , predictive modelling , covariate , artificial intelligence , identification (biology) , wound healing , intensive care medicine , computer science , surgery , demography , botany , sociology , biology
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