Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.
作者： Benjamin Y Gravesteijn , Daan Nieboer , Ari Ercole , Hester F Lingsma , David Nelson
DOI: 10.1016/J.JCLINEPI.2020.03.005
关键词: Algorithm 、 Artificial intelligence 、 Regression 、 Glasgow Outcome Scale 、 Machine learning 、 Regression analysis 、 Glasgow Coma Scale 、 Predictive modelling 、 Random forest 、 Medicine 、 Logistic regression 、 Gradient boosting
摘要: Objective We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design …
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