The ability to predict wildfires - such as those that recently devastated Los Angeles and Canada - is advancing rapidly with the help of ML–driven high-quality data. A new paper, published today ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
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 ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback