We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Abstract: Predicting thyroid illness has become a significant problem in recent times. Thyroid illness is getting more frequent in women over thirty, but it is also becoming more prevalent in men, ...
Abstract: In the context of Satellite Internet Services and Applications (SAT-NET), data imbalance presents a significant challenge, severely impacting the performance of classification algorithms.
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