HIGHLIGHTS
- who: Du Wang from the United States University of Alabama at Birmingham have published the article: Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma, in the Journal: (JOURNAL)
- what: The authors propose using explainable boosting machine (EBM) to predict the pCR of RC patients following nCRT. The authors implemented an ML glass-box model called the explainable boosting machine (EBM) to predict pCR and attain interpretability while still providing optimal performance. The authors evaluated the performance of the EBM model in predicting pCR of patients with . . .
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