Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
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