Diet & Nutrition

Effects of different ozone treatments on the storage quality and stability of fresh peeled garlic.

In order to understand their impacts on the preservation of fresh garlic, varying concentrations of ...

Fermented medicinal herbs improve hematological and physiological profile of Striped catfish .

This study sought to determine the effect of fermented medicinal herbs (FMH), cutchery ( ), turmeri...

Potential for optimizing the perioperative care in robotic prostatectomy patients by adoption of enhanced recovery after surgery principles.

Several benefits have been reported after applying the principles of enhanced recovery after surgery...

Robot-assisted sleeve gastrectomy in patients with obesity with a novel Chinese domestic MicroHand SII surgical system.

BACKGROUND: A new device has been added to the Chinese MicroHand surgical robot family, developed ba...

Image-based nutrient estimation for Chinese dishes using deep learning.

Food image recognition systems facilitate dietary assessment and in turn track users' dietary behavi...

Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4-7th Korea National Health and Nutrition Examination Survey.

Few studies have been conducted to classify and predict the influence of nutritional intake on overw...

Feasibility of a generalized convolutional neural network for automated identification of vertebral compression fractures: The Manitoba Bone Mineral Density Registry.

BACKGROUND: Vertebral fracture assessment (VFA) images are acquired in dual-energy (DE) or single-en...

Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets.

HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabl...

From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.

Self-tracking can help personalize self-management interventions for chronic conditions like type 2 ...

Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density.

Arthritis patients develop hand bone loss, which leads to destruction and functional impairment of t...

Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set.

Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure,...

Impact of polyphenol-rich extracts of fruits and seeds on viability of human intestinal and liver cells .

(Kakadu plum) is a native Australian fruit consumed by Indigenous Australians for centuries. Commer...

Does Physical Activity Predict Obesity-A Machine Learning and Statistical Method-Based Analysis.

BACKGROUND: Obesity prevalence has become one of the most prominent issues in global public health. ...

Precision nutrition: A systematic literature review.

Precision Nutrition research aims to use personal information about individuals or groups of individ...

Machine learning approaches to constructing predictive models of vitamin D deficiency in a hypertensive population: a comparative study.

Given the association between vitamin D deficiency and risk for cardiovascular disease, we used mac...

Robot-assisted laparoscopic surgery combined with axitinib for renal cell carcinoma and inferior vena cava tumor thrombi in a patient with severe obesity and obstructive sleep apnea-hypopnea syndrome: A case report.

Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study.

BACKGROUND: In recent years, mobile-based interventions have received more attention as an alternati...

Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease.

Potential Celiac Patients (PCD) bear the Celiac Disease (CD) genetic predisposition, a significant p...

Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza ...

Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.

In this paper, we discuss the use of natural language processing and artificial intelligence to anal...

Is the Prevalence of Vitamin D deficiency in Patients with Temporomandibular Disorder Higher than Healthy Control Group?

PURPOSE: Vitamin D plays an essential role in subchondral bone, cartilage, and periarticular muscle....