Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Abstract: In this study, we were trying to see how well two machine learning models Decision Tree and SVM can predict water quality. We didn't use a new dataset, it was a secondary one, but we cleaned ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...

Pando is a giant aspen clone in central Utah that has been regrowing parts of itself for up to 80,000 years — but new threats mean the plant is now in decline. When you purchase through links on our ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fluorimetry, a robust analytical technique widely used for ...

Moreover, all of then are available ready to use in this framework under the folder src/ml_datasets. The datasets employed are the following, and more information about how to load them is presented ...

Objectives This study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an ...