AIMC Topic: Diet

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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...
Risk Factors Diet Quality of Life Exercise Humans Machine Learning Obesity Spatial Analysis Life Style Geography Prevalence Sedentary Behavior Diabetes Mellitus, Type 2 United States Socioeconomic Factors
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The potential of artificial intelligence in enhancing adult weight loss: a scoping review.

Public health nutrition Feb 17, 2021
OBJECTIVE: To present an overview of how artificial intelligence (AI) could be used to regulate eating and dietary behaviours, exercise behaviours and weight loss.
Reproducibility of Results Adult Diet Exercise Weight Loss Humans Artificial Intelligence
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Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS.

Circulation. Heart failure Feb 9, 2021
BACKGROUND: Coronary heart disease, heart failure (HF), and stroke are complex diseases with multiple phenotypes. While many risk factors for these diseases are well known, investigation of as-yet unidentified risk factors may improve risk assessment...
Red Meat Diet Protective Factors Incidence Stroke Animals Humans Heart Failure Male Machine Learning Heart Disease Risk Factors Coffee Cardiovascular Diseases Female Milk Proportional Hazards Models Middle Aged Aged Coronary Disease
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Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques.

Scientific reports Jan 21, 2021
The increased prevalence of childhood obesity is expected to translate in the near future into a concomitant soaring of multiple cardio-metabolic diseases. Obesity has a complex, multifactorial etiology, that includes multiple and multidomain potenti...
Child Pediatric Obesity Body Mass Index Metabolic Diseases Risk Factors Male Diet Exercise Spain Life Style Humans Machine Learning Female
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Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Nutrients Dec 10, 2020
Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, as they are inexpensive, easily implemented and provide useful information regarding dietary intake. They are usually carefully drafted by experts from...
Diet Surveys Clinical Decision Rules Surveys and Questionnaires Regression Analysis Predictive Value of Tests Diet, Healthy Humans Machine Learning Female Male Nutrition Assessment Diet Reproducibility of Results Adult
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A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant.

International journal of environmental research and public health Dec 7, 2020
Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant "Paola". This single-arm repeated measures ...
Aged Middle Aged Diet Exercise Motivation Vegetables Humans Artificial Intelligence
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A Universal Approximation Result for Difference of Log-Sum-Exp Neural Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2020
We show that a neural network whose output is obtained as the difference of the outputs of two feedforward networks with exponential activation function in the hidden layer and logarithmic activation function in the output node, referred to as log-su...
Meals Algorithms Feedback Diet Humans Diabetes Mellitus, Type 2 Neural Networks, Computer Artificial Intelligence Machine Learning
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Gastrointestinal Microbiome RNA, Ribosomal, 16S Residence Characteristics Area Under Curve Disease Life Style Confounding Factors, Epidemiologic Gastrointestinal Motility Female Alcohol Drinking Aged Aged, 80 and over Male Humans Feces Young Adult Middle Aged Machine Learning ROC Curve Diet Adult Data Analysis Case-Control Studies Diabetes Mellitus, Type 2 Body Mass Index
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Learning machine approach reveals microbial signatures of diet and sex in dog.

PloS one Aug 17, 2020
The characterization of the microbial population of many niches of the organism, as the gastrointestinal tract, is now possible thanks to the use of high-throughput DNA sequencing technique. Several studies in the companion animals field already inve...
Principal Component Analysis Discriminant Analysis Dogs Microbiota Male Machine Learning Diet Algorithms Phylogeny Female Feces Animals
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A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.

JMIR mHealth and uHealth Jul 10, 2020
BACKGROUND: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized s...
Health Promotion Australia Blood Pressure Body Composition Male Proof of Concept Study Humans Female Middle Aged Artificial Intelligence Diet Aged Exercise Adult
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