HIGHLIGHTS
- who: Yayun Xiang from the Hospital, Taiwan University, Taiwan have published the paper: Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China, in the Journal: (JOURNAL)
- what: Due to the relatively small amount of data, all four models (clinical, DL, radiomics and fusion) were evaluated based on fivefold cross-validation. To improve the generalization of features and optimize the model, Student`s t-test, least absolute shrinkage and selection operator (LASSO), and principal component analysis (PCA . . .
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