Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

A cross‑sectional analysis linked incremental increases in dietary calcium to a greater likelihood of benign prostatic ...

Intelligence as measured by IQ tests is the single most effective predictor known of individual performance at school and on ...

Pathologic complete response was accurately predicted by post-treatment MRI in patients with breast cancer who received ...

Studies examined one aspect of sleep health (sleep duration) as a risk factor for developing obesity. Approaching sleep health as a multidimensional model can better assess this association. This ...

Variation in PICU mortality by ethnicity and area-level deprivation highlights the importance of further investigation into ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Traditional operative risk calculators, such as the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), ...

The study examined how various lifestyle and health-related factors affect the intensity of LUTS/BPH symptoms in elderly ...