Large language models encode medical oncology knowledge: Performance on the ASCO and ESMO examination questions. Evaluation of the IMPACT of a decision-support platform (Trapelo) on testing patterns ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...