Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

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Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

BACKGROUND: Key lifestyle-environ risk factors are operative for depression, but it is unclear how r...

Association of Osteoprotegerin with Obesity, Insulin Resistance and Non-Alcoholic Fatty Liver Disease in Children.

BACKGROUND: Osteoprotegerin (OPG) is a member of the tumor necrosis factor superfamily. Reduced OPG ...

Activity Recognition for Diabetic Patients Using a Smartphone.

Diabetes is a disease that has to be managed through appropriate lifestyle. Technology can help with...

Robot-assisted versus laparoscopic surgery for lower rectal cancer: the impact of visceral obesity on surgical outcomes.

PURPOSE: The purpose of this study was to evaluate the advantages of robot-assisted laparoscopic sur...

Temporal changes in plasma markers of oxidative stress following laparoscopic sleeve gastrectomy in subjects with impaired glucose regulation.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associat...

A prediction model of blood pressure for telemedicine.

This paper presents a new study based on a machine learning technique, specifically an artificial ne...

Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.

BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 ...

Control of Redundant Kinematic Degrees of Freedom in a Closed-Loop Brain-Machine Interface.

Brain-machine interface (BMI) systems use signals acquired from the brain to directly control the mo...

Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children wi...

Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.

Obesity is a chronic disease with an increasing impact on the world's population. In this work, we p...

Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.

BACKGROUND: Recent studies have shown that brain-machine interfaces (BMIs) offer great potential for...

Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model.

In recent years, the Japanese Ministry of Health, Labour, and Welfare is working to improve citizen׳...

Multiple Linear Regression and Artificial Neural Network to Predict Blood Glucose in Overweight Patients.

BACKGROUND: Overweight individuals are at higher risk for developing type II diabetes than the gener...

Value of serum 1,5-anhydroglucitol measurements in childhood obesity in the continuum of diabetes.

PURPOSE: The prevalence of type 2 diabetes mellitus (T2DM) and obesity are currently increasing. Acc...

Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.

We hypothesized that dietary total fiber intake may be less than recommendations and that the intake...

Ramie Leaf Extracts Suppresses Adipogenic Differentiation in 3T3-L1 Cells and Pig Preadipocytes.

The present study was carried out to evaluate the anti-obesity effect of different concentrations of...

Long-term clinical and functional impact of biliopancreatic diversion on type 2 diabetes in morbidly and non-morbidly obese patients.

SETTING: Obesity surgery has been proposed as a treatment option for diabetic patients with body mas...

Multimodal hybrid reasoning methodology for personalized wellbeing services.

A wellness system provides wellbeing recommendations to support experts in promoting a healthier lif...

Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

The number of the overweight people continues to rise across the world. Studies have shown that bein...

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