Survival analysis focuses on modelling time-to-event outcomes in the presence of censored observations. Traditional approaches have centred on the Cox proportional hazards model, which assumes a ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare ...

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients with breast cancer bone metastasis.