AIMC Topic: Overweight
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Identification of influence factors in overweight population through an interpretable risk model based on machine learning: a large retrospective cohort.
Endocrine
Sep 30, 2023
BACKGROUND: The identification of associated overweight risk factors is crucial to future health risk predictions and behavioral interventions. Several consensus problems remain in machine learning, such as cross-validation, and the resulting model m...
Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.
Cancer medicine
May 31, 2023
BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The short-term outcomes of robot-assisted pancreaticoduodenectomy (RPD) remain controversial. This study aims to investigate the feasibility and advantag...
Reducing both radiation and contrast doses for overweight patients in coronary CT angiography with 80-kVp and deep learning image reconstruction.
European journal of radiology
Feb 10, 2023
PURPOSE: To investigate the use of an 80-kVp tube voltage combined with a deep learning image reconstruction (DLIR) algorithm in coronary CT angiography (CCTA) for overweight patients to reduce radiation and contrast doses in comparison with the 120-...
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Journal of medical systems
Jan 13, 2023
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
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...
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.
An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.
Scientific reports
Jan 21, 2022
Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal and neonatal consequences, is increased in mothers with overweight and obesity. Interventions initiated early in pregnancy can reduce the rate of GDM i...
Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study.
Scientific reports
Aug 6, 2021
Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for better approaches to prevent as many cases as possible and move from a one-size-fits-all approach to a precision cardiometabolic prevention strategy ...
Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4-7th Korea National Health and Nutrition Examination Survey.
International journal of environmental research and public health
May 24, 2021
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present st...
The Prediction of Body Mass Index from Negative Affectivity through Machine Learning: A Confirmatory Study.
Sensors (Basel, Switzerland)
Mar 29, 2021
This study investigates on the relationship between affect-related psychological variables and Body Mass Index (BMI). We have utilized a novel method based on machine learning (ML) algorithms that forecast unobserved BMI values based on psychological...
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