Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

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 ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Researchers have used machine learning to aggregate nearly five decades of weather data to better understand the factors that ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...