The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...

1 Wuxi hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China 2 Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, ...

If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...

Known as “forever chemicals”, PFAS exposure has been linked indirectly and directly to a range of potential health issues. The objective of this study was the development of an optimized sample ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...

Abstract: Federated Learning (FL) has gained considerable traction, yet, for tabular data, FL has received less attention. Most FL research has focused on Neural Networks while Tree-Based Models (TBMs ...

Abstract: Traditional machine learning assumes samples in tabular data to be independent and identically distributed (i.i.d). This assumption may miss useful information within and between sample ...