Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further ...

So what is America? On a single Friday in April, we carried pen and camera from sea to shining sea to find out.

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

Space complexity of machine learning algorithms is the amount of memory or storage an algorithm requires for its successful execution. This becomes one of the important metrics of concern since it ...