Predicting the functional outcomes of anti-LGI1 encephalitis using a random forest model.

Gongfei LiXiao LiuMinghui WangTingting YuJiechuan RenWang Qun

Published in: Acta neurologica Scandinavica (2022)

The random forest model can predict poor functional outcomes of patients with anti-LGI1 encephalitis. This model was more accurate and reliable than the logistic regression, Naive Bayes, and SVM algorithm.

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