Abstract: Heart failure is considered one of the leading cause of death around the world. The diagnosis of heart failure is a challenging task especially in under-developed and developing countries ...

Abstract: Many real-world optimization problems can be solved by using the data-driven approach only, simply because no analytic objective functions are available for evaluating candidate solutions.

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

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

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

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm ...

Seeking to empower smallholder farmers, an Asia Pacific University of Technology & Innovation (APU) duo devised a solution ...

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 ...