Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

In a new paper, titled “Air Quality Is Predictive of Mistakes in Professional Baseball and American Football, the ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Insulin resistance was associated with adverse clinical outcomes among patients with PCOS and normal weight undergoing IVF/ICSI.

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

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 ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Objective To assess family caregiver burden and associated factors among caregivers of people with mental illness in Eastern Ethiopia. Design Cross-sectional study. Setting Three hospitals in Eastern ...

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.