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Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes.
Translational psychiatry
Aug 21, 2025
Understanding how individual differences influence vulnerability to disease and responses to pharmacological treatments represents one of the main challenges in behavioral neuroscience. Nevertheless, inter-individual variability and sex-specific patt...
Machine learning-assisted MALDI-MSI to characterize hippocampal subregion lipid and purine metabolic alterations in depression-related dry eye disease.
Analytical methods : advancing methods and applications
Aug 21, 2025
Dry eye disease (DED) and depression exhibit high comorbidity, yet lipid and purine diagnostic biomarkers for depression-related DED remain unidentified. In this study, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI)...
Natural language processing assisted detection of inappropriate proton pump inhibitor use in adult hospitalised patients.
European journal of hospital pharmacy : science and practice
Aug 21, 2025
OBJECTIVES: To establish a clinical application monitoring system for proton pump inhibitors (PPI-MS) and to enhance the detection and intervention of inappropriate PPI use in adult hospitalised patients.
Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.
PLoS medicine
Aug 21, 2025
BACKGROUND: Knee osteoarthritis (KOA) worsens both structurally and symptomatically, yet no model predicts KOA progression using Magnetic Resonance Image (MRI) radiomics and biomarkers. This study aimed to develop and test the longitudinal Load-Beari...
The additive effect of the estimated glucose disposal rate and a body shape index on cardiovascular disease: A cross-sectional study.
PloS one
Aug 21, 2025
BACKGROUND: The glucose disposal rate (eGDR) and a body shape index (ABSI) are predictors strongly associated with cardiovascular disease (CVD) and outcomes. However, whether they have additive effects on CVD risk is unknown. This study aimed to inve...
Predicting art university students' entrepreneurial intention: A hybrid SEM-ANN approach.
PloS one
Aug 21, 2025
In recent years, academics and policymakers have increasingly focused on entrepreneurial behavior among university students. While existing studies have explored the entrepreneurial intention (EI) of students from various academic disciplines, few ha...
Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset.
PloS one
Aug 21, 2025
BACKGROUND: Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS).
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model.
PloS one
Aug 21, 2025
Asthma is a frequent and long-lasting disorder associated with airway inflammation. The disease severity may lead to serious health concerns and even mortality. In this work, we propose a novel hybrid approach using machine learning models and simila...
Advancing fall risk prediction in older adults with cognitive frailty: A machine learning approach using 2-year clinical data.
PloS one
Aug 21, 2025
Falls are a critical concern in older adults with cognitive frailty (CF). However, previous studies have not fully examined whether machine learning models can predict falls in older individuals with CF. The 2-year longitudinal data set from the Kore...
Medication adherence among Jordanian adults with chronic conditions: a combined analysis using regression and machine learning.
Annals of medicine
Aug 20, 2025
BACKGROUND: Managing chronic illness effectively depends not only on treatment availability but also on patients' ability to adhere to prescribed medications.
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