Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

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 ...
Scientific Research Publishing

Application of Random Search Methods in the Determination of Learning Rate for Training Container Dwell Time Data Using Artificial Neural Networks ()

1 Accra Institute of Technology, Advanced School of Systems and Data Studies (ASSDAS), Accra, Ghana. 2 Accra Institute of Technology, Accra, Ghana. 3 Knowledge Web Centre, Accra, Ghana. 4 Department ...
C&EN

Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry

Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, ...
ahajournals.org

Omics and Extreme Phenotyping Reveal Longitudinal Association Between Left Atrial Size and Pulmonary Vascular Resistance in Group 2 Pulmonary Hypertension

Left heart disease is the most common cause of pulmonary hypertension (PH) and is frequently accompanied by increases in pulmonary vascular resistance. However, the distinction between phenotypes of ...
Frontiers

Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...