Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

A larger hiatal hernia (HH) is significantly associated with a higher risk for new-onset atrial fibrillation (AF), according to study results presented at the American College of Gastroenterology (ACG ...

There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...

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 ...

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

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it is found that hybrid stacked models give ...

Older Canadian adults whose physicians prescribe first-generation antihistamines in the hospital are more likely to ...

Background Mixed connective tissue disease (MCTD) has long been debated as an early nonspecific phase/symptom of ...

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...