Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...

The goal of this regression-centric space is to tell fantasy football folks which of their borderline fantasy options are running particularly hot or particularly cold, to use a little technical ...

Whenever a player is a pleasant surprise or a big disappointment in fantasy hockey, the natural question is whether this is the new normal or just an outlier. Successfully predicting when someone is ...

Renck: Courtland Sutton’s stat line is like a Truth Social post by President Trump — all caps. He has seven catches in two games and posted a single reception in Sunday’s loss at Indianapolis. We ...

The goal of this regression-centric space is to tell fantasy football folks which of their borderline fantasy options are running particularly hot or particularly cold, to use a little technical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

In a recent article published in the journal Frontiers in Cellular and Infection Microbiology, researchers in Italy investigated the role of different dietary macronutrients in influencing the ...

This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

Background: Acute Respiratory Infections (ARIs) remain a critical health concern, particularly among children aged 6–59 months, where they are among the leading causes of morbidity and mortality ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...