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Vitamins

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Predicting vitamin D deficiency using optimized random forest classifier.

Clinical nutrition ESPEN
BACKGROUND: Vitamin D can be acquired from various dietary sources, but exposure to sunlight's ultraviolet rays can convert a natural compound called ergosterol present in the skin into vitamin D.

Prognostic Value of Vitamin D Serum Levels in Cutaneous Melanoma.

Actas dermo-sifiliograficas
INTRODUCTION: Vitamin D plays a fundamental role in many metabolic pathways, including those involved in cell proliferation and the immune response. Serum levels of this vitamin have been linked to melanoma risk and prognosis. This study aimed to ass...

Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

Frontiers in endocrinology
BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents.

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
To establish vitamin D classification models for Chinese elderly using machine learning techniques. Based on the datasets of 2010-2012 Chinese nutrition and health surveillance, the basic information and physical exercise of the subjects were colle...

Food Metabolomics.

Journal of nutritional science and vitaminology
Foods contain not only nutrients but also a wide variety of components related to flavor and functionality. Many studies have been conducted on the components of foods. Quantitative analysis has been used to assess compounds in food such as sugars, a...

Deep Learning-Based Sensor Array: 3D Fluorescence Spectra of Gold Nanoclusters for Qualitative and Quantitative Analysis of Vitamin B Derivatives.

Analytical chemistry
Vitamin B derivatives (VB6Ds) are of great importance for all living organisms to complete their physiological processes. However, their excess in the body can cause serious problems. What is more, the qualitative and quantitative analysis of differe...

Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra.

Sensors (Basel, Switzerland)
The grading of cancer tissues is still one of the main challenges for pathologists. The development of enhanced analysis strategies hence becomes crucial to accurately identify and further deal with each individual case. Raman spectroscopy (RS) is a ...

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

Journal of medical Internet research
BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals. Food labels provide consumers with information regarding the nutritional conte...

Deep-Learning-Assisted Discriminative Detection of Vitamin B and Vitamin B by Fluorescent MoSe Quantum Dots.

ACS applied bio materials
A facile and environmentally mindful approach for the synthesis of MoSe QDs was developed via the hydrothermal method from bulk MoSe. In this, the exfoliation of MoSe was enhanced with the aid of an intercalation agent (KOH), which could reduce the e...