AIMC Topic: Obesity
Clear Filters Showing 121 to 130 of 234 articles
Constructing a prediction model for difficult intubation of obese patients based on machine learning.
Journal of clinical anesthesia
Apr 12, 2021
Does Physical Activity Predict Obesity-A Machine Learning and Statistical Method-Based Analysis.
International journal of environmental research and public health
Apr 9, 2021
BACKGROUND: Obesity prevalence has become one of the most prominent issues in global public health. Physical activity has been recognized as a key player in the obesity epidemic.
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...
Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA.
Scientific reports
Mar 26, 2021
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial and temporal scales, attributable to variations of socioeconomic and lifestyle risk factors. Understanding these variations in risk factors contributio...
Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.
Research in nursing & health
Mar 2, 2021
Machine learning, a branch of artificial intelligence, is increasingly used in health research, including nursing and maternal outcomes research. Machine learning algorithms are complex and involve statistics and terminology that are not common in he...
3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue.
Science advances
Feb 17, 2021
Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Their histological density in visceral adipose tissue (VAT) predicts metabolic disorder progression in obesity and is believed to initiate obesity comorbi...
Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer.
eLife
Jan 25, 2021
Determining the etiologic basis of the mutations that are responsible for cancer is one of the fundamental challenges in modern cancer research. Different mutational processes induce different types of DNA mutations, providing 'mutational signatures'...
An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.
Eating and weight disorders : EWD
Jan 2, 2021
PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. Its diagnosis can be challenging in primary care. Based on the SCOFF example, we aim to determine whether a quicker and simpler screening tool for FA in...
Contemporary rates and predictors of open conversion during minimally invasive partial nephrectomy for kidney cancer.
Surgical oncology
Dec 11, 2020
OBJECTIVES: To test contemporary rates and predictors of open conversion at minimally invasive partial nephrectomy (MIPN: laparoscopic or robotic partial nephrectomy).
Deep learning reconstruction of equilibrium phase CT images in obese patients.
European journal of radiology
Oct 28, 2020
PURPOSE: To compare abdominal equilibrium phase (EP) CT images of obese and non-obese patients to identify the reconstruction method that preserves the diagnostic value of images obtained in obese patients.
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