A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

A grading model for radiation dermatitis achieved high overall accuracy; however, sensitivity and specificity varied across grades but were more balanced in grade 4 dermatitis.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

The study, which compares four spectroscopy tools, aims to optimize spectral data processing, ensuring more accurate classification. This advancement promises significant implications for the ...

A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update Model (BPUM). This innovative approach combines historical planting data ...