TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...

Please provide your email address to receive an email when new articles are posted on . Random forest regression models had an area under the curve of 0.8 with 83% accuracy. The researchers called the ...

Machine learning models can help predict which children diagnosed with childhood asthma before age 5 will continue to experience symptoms as they get older. Researchers have determined that machine ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Imagine knowing, in real time, whether a patient will suffer a surgical infection as a surgeon closes up a wound. That's the kind of clinical situation that machine learning is enabling at the ...