By combining statistical modelling with machine learning innovations, researchers are now able to address large-scale and high-dimensional datasets more effectively, making imputation not only a ...

Recently, advances in machine learning have led to the development of deep latent variable models (DLVMs), a deep-learning approach to statistical modeling that has the capacity to capture these ...

They proposed a GUIDE piecewise-constant regression tree as an alternative as it does not require imputation and can handle large numbers of variables. Little (2020) questioned the generality of their ...

To address these difficulties, this paper develops a probabilistic record linkage methodology that combines machine learning (ML) with multiple imputation (MI). This ML-MI methodology is applied to ...

A new AI review outlines 2025 strategies to fix missing traffic data in smart cities using structure- and learning-based ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...