A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

A machine learning model was able to accurately predict peak and average intraocular pressure (IOP), according to a study published in Frontiers in Medicine. 1 This learning model could help with ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

The researchers applied 17 machine learning algorithms, including linear regression, tree-based models, and ensemble techniques, to the dataset to develop metabolomic aging clocks.

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 ...

Models of EC prediction with only clinical-pathologic data performed as previous historical models. 16,17,22,23 What was unique of our study is that we separated model building by EC risk group, so ...

Yale researchers use machine learning to predict PTSD symptoms. Machine learning model, developed by researchers, has a relatively high prediction strength for clinical measures ... The model works by ...

In patients undergoing cytoreductive surgery, the ML model outperformed multiple logistic regression models for postoperative risk prediction with an AUROC of 0.75. 32 Similarly, in a small ...

Study: Machine learning analysis for the association between breast feeding and metabolic syndrome in women.Image Credit: evso/Shutterstock.com. Background. Metabolic syndrome, which includes ...