Osteosarcoma is the most common primary solid malignancy of the bone, and its high
mortality usually correlates with early metastasis. In this study, we developed a risk score …

Cancer is associated with an increased risk of venous thromboembolism (VTE). In the
CASSINI study, ambulatory cancer patients with a Khorana risk score≥ 2 had a reduced risk …

This work examines the application of regularization methods in political science, both
theoretically and practically. The focus of the study is on the use of regularization to specify …

Background Haploinsufficiency (HI) resulting from deletion of the long arm of chromosome 5
[del (5q)] and the accompanied loss of heterozygosity are likely key pathogenic factors in del …

We propose a new Bayesian model for flexible nonlinear regression and classification using
tree ensembles. The model is based on the RuleFit approach in Friedman and Popescu …

Classification of diabetes data with existing data mining and machine learning algorithms is
challenging and the predictions are not always accurate. We aim to build a model that …

Background. Child mortality is a global health problem. The United Nations' 2018 report on
levels and trends on child mortality indicated that under‐five mortality is one of the major …

Feature selection is demanded in many modern scientific research problems that use high-
dimensional data. A typical example is to identify gene signatures that are related to a …

Structural equation models (SEMs) are widely recognized as the most important statistical
tool for assessing the interrelationships among latent variables. This study develops a …

Drought is one of the disastrous natural hazards with complex seasonal and spatial patterns.
Understanding the spatial patterns of drought and predicting the likelihood of inter-seasonal …