Introduction The number of children with life-limiting conditions has risen in recent decades, partly due to medical advances ...
Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
Background In 2023, the WHO recommended prioritising treatment for moderately wasted children with higher risk ...
Introduction Community health workers (CHWs) are central to primary healthcare (PHC) delivery and infectious disease control ...
Introduction Tribal people in India face a growing risk of multimorbidity, primarily from cardiovascular diseases (CVD) due to changing lifestyles and unique socio-cultural and political factors. We ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...
Purpose Avoidant restrictive food intake disorder (ARFID) is associated with acute and chronic physical health risks, but ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...
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