Latest AI and machine learning research in obesity for healthcare professionals.
The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identifying medical risk factors related to Coronary Artery Disease (CAD) in the narratives of longitudinal medical records of diabetic patients. The risk factors included hypertension, hyperlipidemia, obesity, smoking status, and family history, as well as diabetes and CAD, and indicators that suggest th...
Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infection rates following intrawound vancomycin powder application during spine tumor surgery. Methods Patients ≥18 years old undergoing spine tumor surgery and receiving intrawound vancomycin powder at a single center between January 2008 and January 2015 were enrolled. Patient demographics (age, sex, bod...
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented w...
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI de...
Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been ...
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on...
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence r...
Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective instability (AI) in the daily lives of outpatients wit...
Human activity recognition is important in the study of personal health, wellness and lifestyle. In order to acquire human activity information from t...
The purpose of this study was to report the outcomes of a series of patients who underwent hand-assisted laparoscopy surgery for benign giant pelvic m...
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality...
OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several studies have demonstrated the overall feasibility ...
BACKGROUND: Minimally invasive surgery (MIS) has emerged as a treatment of choice for early-stage gastric cancer. However, applying MIS to gastric pat...
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positi...
Clinical risk prediction - the estimation of the likelihood an individual is at risk of a disease - is a coveted and exigent clinical task, and a corn...
OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven de...
INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with localized prostate cancer are presenting as candidates ...
BACKGROUND: Robotic single-site cholecystectomy (RSSC) has been shown to be a safe alternative to the laparoscopic approach in selected patients. Pati...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plan...
Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associated with risk factors for various diseases and ar...