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

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

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

Abstract: In the banking sector, predicting customer loan eligibility is a crucial task. This paper presents a study of using machine learning algorithms to predict loan eligibility of customers based ...

Abstract: Results of All Cancers The mortality of lung cancer is highest among both international and domestic patients. Hence, early detection and accurate prediction are essential for ...