Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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Showing 1135-1155 of 2,561 articles
Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health a...

Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning.

Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obe...

Relationships between vitamin C intake and COPD assessed by machine learning approaches from the NHANES (2017-2023).

BACKGROUND: This research aims to explore the possible link between Vitamin C Intake (VCI) and the i...

Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction.

OBJECTIVE: This study aims to examine association between vitamin D with melanoma and develop an exp...

Perspective on the ethics of AI at the intersection of nutrition and behaviour change.

Artificial intelligence (AI) has emerged as a powerful tool, that has the potential to impact societ...

The dynamic linkage between covid-19 and nutrition: a review from a probiotics perspective using machine learning and bibliometric analysis.

INTRODUCTION: The pandemic crisis is now a memorable milestone in the history of science, not only f...

Analyzing the impact of clay minerals on the reservoir quality of the Lower Goru Formation using Unsupervised Machine Learning.

The reservoir quality of the Lower Goru Formation is highly variable due to its heterogeneous nature...

Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey.

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiov...

The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!

Inborn errors of metabolism (IEMs) are rare genetic conditions with significant morbidity and mortal...

Learning genotype-phenotype associations from gaps in multi-species sequence alignments.

Understanding the genetic basis of phenotypic variation is fundamental to biology. Here we introduce...

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

OBJECTIVE: Individuals living with obesity are differentially susceptible to cardiometabolic disease...

Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023.

BACKGROUND: Obesity, a multifactorial and complex health condition, has emerged as a significant glo...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?

OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used t...

Precision Nutrition Management in Continuous Care: Leveraging AI for User-Reported Dietary Data Analysis.

A As health technology advances, this study aims to develop an innovative nutritional intake managem...

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