Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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 ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results