Yuval Boger

2 weeks ago | hpcwire.com | Yuval Boger |John Russell

Clinical trials, particularly for rare diseases, oncology, and precision medicine, often grapple with a critical challenge: too little data. Many standard machine-learning algorithms require substantial data sets to achieve credible accuracy, and smaller data sets can lead to overfitting, high variance in predictions, and poor generalization.