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 ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.