AIMC Topic: Obesity

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Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data.

Physical and engineering sciences in medicine Nov 9, 2022
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influences the walk patterns of individuals. In addition to the BMI, uneven walking surfaces may cause var...
Humans Overweight Obesity Walking Artificial Intelligence Deep Learning
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Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence.

Endocrine Oct 12, 2022
BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human beings that further may cause several diseases such as Polycystic Ovary Syndrome (PCOS), Cardiovascular disease, Diabetes, Cancers, etc. Obesity is a maj...
Snacks Breakfast Obesity Humans Meals Female Artificial Intelligence Adult
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Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity.

International journal of environmental research and public health Aug 2, 2022
Ecological theories suggest that environmental, social, and individual factors interact to cause obesity. Yet, many analytic techniques, such as multilevel modeling, require manual specification of interacting factors, making them inept in their abil...
Waist-Height Ratio Ecosystem Adolescent Obesity Humans Artificial Intelligence
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Comparative Study on the Effect of Various Aerobic Exercises on College Students' Weight Loss Based on Deep Learning Analysis.

Computational intelligence and neuroscience Jul 30, 2022
In order to solve the problem of higher obesity rate of college students and meet the needs of college students to lose weight effectively, a comparative study on the effect of various aerobic exercises on college students' weight loss based on in-de...
Exercise Humans Male Deep Learning Female Students Weight Loss Obesity Body Weight
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Determining the effective factors in predicting diet adherence using an intelligent model.

Scientific reports Jul 19, 2022
Adhering to a healthy diet plays an essential role in preventing many nutrition-related diseases, such as obesity, diabetes, high blood pressure, and other cardiovascular diseases. This study aimed to predict adherence to the prescribed diets using a...
Humans Neural Networks, Computer Female Body Mass Index Obesity Diet, Healthy Male Diet
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Commentary On: Image Quality Evaluation in Dual Energy CT of the Chest, Abdomen and Pelvis in Obese Patients with Deep Learning Image Reconstruction.

Journal of computer assisted tomography Jun 23, 2022
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Image Processing, Computer-Assisted Obesity Pelvis Abdomen Humans Algorithms Tomography, X-Ray Computed
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Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach.

Nutrition & diabetes May 27, 2022
BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, the identification of sub-populations in epidemiological datasets remains unexplored. We here focus on the...
Diabetes Mellitus, Type 2 India Obesity Humans Diet Unsupervised Machine Learning
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Obesity and individual performance: the case of eSports.

International journal of obesity (2005) May 18, 2022
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in the context of the growing role of computer-based work. Negative stereotypes about people with obesity still hold even when they are irrelevant in tasks...
Artificial Intelligence Obesity Exercise Video Games Body Mass Index Humans
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Predicting risk of overweight or obesity in Chinese preschool-aged children using artificial intelligence techniques.

Endocrine May 18, 2022
OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determine and optimize most important factors for overweight and obesity in Chinese preschool-aged children.
China Humans Child, Preschool Artificial Intelligence Child Cross-Sectional Studies Overweight Obesity
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Robotic colon surgery in obese patients: a systematic review and meta-analysis.

ANZ journal of surgery May 3, 2022
BACKGROUND: Colon cancer resection can be technically difficult in the obese (OB) population. Robotic surgery is a promising technique but its benefits remain uncertain in OB patients. The aim of this study is to compare OB versus non-obese (NOB) pat...
Treatment Outcome Obesity Laparoscopy Robotic Surgical Procedures Surgical Wound Infection Robotics Anastomotic Leak Postoperative Complications Colon Length of Stay Humans Prospective Studies
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