Primary Care

Obesity

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

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Showing 946-966 of 1,206 articles
Processing Diabetes Mellitus Composite Events in MAGPIE.

The focus of this research is in the definition of programmable expert Personal Health Systems (PHS)...

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 ...

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...

Scintigraphic Small Intestinal Transit Time and Defaecography in Patients with J-Pouch.

Objective methods for examination of pouch function are warranted for a better understanding of the ...

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...

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...

A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals.

BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by repla...

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...

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...

Intrawound Vancomycin Powder for Spine Tumor Surgery.

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

Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasi...

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...

Continence outcomes of robot-assisted radical prostatectomy in patients with adverse urinary continence risk factors.

OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in subo...

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...

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 ...

The Utility of Hand-Assisted Laparoscopic Surgery (HALS) in Giant Pelvic Masses.

The purpose of this study was to report the outcomes of a series of patients who underwent hand-assi...

Regular expression-based learning to extract bodyweight values from clinical notes.

BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely...

Robotic surgery in supermorbidly obese patients with endometrial cancer.

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

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