Primary Care

Obesity

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

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Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

Decision support tools increasingly integrate clinical knowledge such as medication indications and ...

Nov 2015 26958279
Effectiveness of intragastric balloon for obesity: A systematic review and meta-analysis based on randomized control trials.

BACKGROUND: Obesity has become a worldwide epidemic, and many methods are currently used to reduce o...

Oct 2015 26968503
The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...

Sep 2015 26844150
Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Past research has assessed the association of single community characteristics with obesity, ignorin...

Sep 2015 26398219
Machine Learning Techniques for Prediction of Early Childhood Obesity.

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected pr...

Aug 2015 26448795
Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and...

Aug 2015 26318085
Intrawound Vancomycin Powder for Spine Tumor Surgery.

Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...

Jul 2015 27099810
Assessment of brain-machine interfaces from the perspective of people with paralysis.

OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to...

Jul 2015 26169880
Negative Affect Instability among Individuals with Comorbid Borderline Personality Disorder and Posttraumatic Stress Disorder.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective inst...

Apr 2015 26904388
An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Human activity recognition is important in the study of personal health, wellness and lifestyle. In ...

Mar 2015 25787786
Robotic surgery in supermorbidly obese patients with endometrial cancer.

OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several ...

Jan 2015 25644437
Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns ab...

Jan 2015 25637843
Outcomes of Extraperitoneal Robot-Assisted Radical Prostatectomy in the Morbidly Obese: A Propensity Score-Matched Study.

INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with local...

Dec 2014 25347555
Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Oct 2014 25453384
Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...

Aug 2014 25148675
Phenotypic Profiles of Suicidal Ideation in Obsessive-Compulsive Disorder: An Interpretable Machine Learning Approach

Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet m...

Smart AI-Powered Machine Learning Risk Assessment for Early Osteoporosis Detection for Women Bone Health

Osteoporosis is often called a silent disease because it progresses without symptoms until a fractur...

Development and Validation of a Machine Learning Model to Predict Prognosis in Patients with Advanced Head and Neck Cancer

Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...

Glycemic response trajectories on metformin monotherapy in real-world diabetes care

Objectives: Diabetes affects over 500 million people globally and glycemia is inadequately managed. ...

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