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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.
External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands.
Breast cancer research : BCR
Aug 20, 2025
BACKGROUND: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematox...
Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning.
Radiation oncology (London, England)
Aug 20, 2025
BACKGROUND: Knowledge-Based Planning (KBP) pipelines, which integrate machine learning-based models to predict dose distribution, have gained popularity in clinical radiation therapy. However, for patients with specific requirements, the trained mode...
AI-assisted 3D versus conventional 2D preoperative planning in total hip arthroplasty for Crowe type II-IV high hip dislocation: a two-year retrospective study.
Journal of orthopaedic surgery and research
Aug 20, 2025
BACKGROUND: With the growing complexity of total hip arthroplasty (THA) for high hip dislocation (HHD), artificial intelligence (AI)-assisted three-dimensional (3D) preoperative planning has emerged as a promising tool to enhance surgical accuracy. T...
Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma.
BMC cancer
Aug 20, 2025
BACKGROUND: Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integra...
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