The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

Study links longer duration of mechanical ventilation, a common factor in RAS, as the independent predictor of PPCs, not the surgical technique.

A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased ...