jech.bmj

OP112 Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving compositional data and composite ...

Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...
Frontiers

Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches

Background: The objective of this study was to build models that define variables contributing to pneumonia risk by applying supervised Machine Learning (ML) to medical and oral disease data to define ...
Frontiers

Identifying Variables That Predict Depression Following the General Lockdown During the COVID-19 Pandemic

1 Department of Psychology, School of Psychological Sciences, University of Haifa, Haifa, Israel 2 The Integrated Brain and Behavior Research Center (IBBR), University of Haifa, Haifa, Israel This ...
jech.bmj

Using directed acyclic graphs to guide analyses of neighbourhood health effects: an introduction

Background: Directed acyclic graphs, or DAGs, are a useful graphical tool in epidemiologic research that can help identify appropriate analytical strategies in addition to potential unintended ...
IEEE

AutoCheck: Automatically Identifying Variables for Checkpointing by Data Dependency Analysis

Abstract: Checkpoint/Restart (C/R) has been widely deployed in numerous HPC systems, Clouds, and industrial data centers, which are typically operated by system engineers. Nevertheless, there is no ...
BMJ

AB0120 IDENTIFYING CORE VARIABLES TO DEVELOP A SEVERITY INDEX IN RHEUMATOID ARTHRITIS: A NATIONWIDE DELPHI CONSENSUS

Background: Early interventions during the “window of opportunity” have been shown to improve clinical outcomes in rheumatoid arthritis (RA). However, intensive treatment can induce toxicity so ...