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Showing 694-714 of 2,508 articles

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion in...

Apr 2023 37043261

Evaluation of plasma vitamin E and development of proteinuria in hypertensive patients.

BACKGROUND: The prospective relationship between plasma vitamin E levels and proteinuria remains unc...

Apr 2023 38525444

Deep neural network for food image classification and nutrient identification: A systematic review.

Technology impacts human life in both the aspects such as positive and negative, which helps in bett...

Mar 2023 36976459

Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.

BACKGROUND: Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful ...

Mar 2023 36958542

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.

INTRODUCTION: The potential for synthetic data to act as a replacement for real data in research has...

Mar 2023 36928534

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Limited data are available on postoperative outcomes in patients undergoing robotic total pancreatec...

Mar 2023 36920720

Putting the Personalized Metabolic Avatar into Production: A Comparison between Deep-Learning and Statistical Models for Weight Prediction.

Nutrition is a cross-cutting sector in medicine, with a huge impact on health, from cardiovascular d...

Feb 2023 36904199

Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the nee...

Feb 2023 36763201

On stars and spikes: Resolving the skeletal morphology of planktonic Acantharia using synchrotron X-ray nanotomography and deep learning image segmentation.

Acantharia (Acantharea) are wide-spread marine protozoa, presenting one of the rare examples of stro...

Jan 2023 36706850

Age-specific risk factors for the prediction of obesity using a machine learning approach.

Machine Learning is a powerful tool to discover hidden information and relationships in various data...

Jan 2023 36733276

Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Obesity and overweight has increased in the last year and has become a pandemic disease, the result ...

Jan 2023 36637549

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting.

Despite the prominent use of complex survey data and the growing popularity of machine learning meth...

Jan 2023 36638125

Lorcaserin and phentermine exert anti-obesity effects with modulation of the gut microbiota.

Although drugs have been reported to modulate the gut microbiota, the effects of anti-obesity drugs ...

Jan 2023 36687627

Mid-level data fusion of Raman spectroscopy and laser-induced breakdown spectroscopy: Improving ores identification accuracy.

The identification of ore samples is of great scientific significance for mineral exploration, and g...

Dec 2022 36641144

In silico investigation on structure-function relationship of members belonging to the human SLC52 transporter family.

Riboflavin is an essential water-soluble vitamin that needs to be provided through the diet because ...

Dec 2022 36511838

Study on the classification and identification of various carbonate and sulfate mineral medicines based on Raman spectroscopy combined with PCA-SVM algorithm.

The efficacy of mineral medicines varies greatly between different origins. Therefore, investigating...

Dec 2022 36525136

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence a...

Dec 2022 36501140

Primary Care

Browse Categories

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

Evaluation of plasma vitamin E and development of proteinuria in hypertensive patients.

Deep neural network for food image classification and nutrient identification: A systematic review.

Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Putting the Personalized Metabolic Avatar into Production: A Comparison between Deep-Learning and Statistical Models for Weight Prediction.

Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

On stars and spikes: Resolving the skeletal morphology of planktonic Acantharia using synchrotron X-ray nanotomography and deep learning image segmentation.

Age-specific risk factors for the prediction of obesity using a machine learning approach.

Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting.

Lorcaserin and phentermine exert anti-obesity effects with modulation of the gut microbiota.

Mid-level data fusion of Raman spectroscopy and laser-induced breakdown spectroscopy: Improving ores identification accuracy.

In silico investigation on structure-function relationship of members belonging to the human SLC52 transporter family.

Study on the classification and identification of various carbonate and sulfate mineral medicines based on Raman spectroscopy combined with PCA-SVM algorithm.

Detection of factors affecting kidney function using machine learning methods.

A novel knowledge extraction method based on deep learning in fruit domain.

Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies.

Machine learning modeling practices to support the principles of AI and ethics in nutrition research.

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

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