Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

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Showing 862-882 of 1,206 articles
Organization of the cancer network in SUS: evolution of the care model.

In the current context of epidemiological transition, demographic changes, changes in consumption an...

Learning for Personalized Medicine: A Comprehensive Review From a Deep Learning Perspective.

With the recent advancements in analyzing high-volume, complex, and unstructured data, modern learni...

Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity.

IMPORTANCE: More than one-third of the adult population in the United States is obese. Obesity has b...

OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of variou...

MEG-BMI to Control Phantom Limb Pain.

A brachial plexus root avulsion (BPRA) causes intractable pain in the insensible affected hands. Suc...

Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

Over the past few decades, the rise of multiple chronic conditions has become a major concern for cl...

Association of Vitamin D and Parathyroid Hormone Levels in Overweight and Obese Adolescents.

Vitamin D deficiency in known to be high in obese and overweight adolescents. Few studies in other c...

Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach.

Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuro...

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Very little is known about the health problems experienced by individuals with autism spectrum disor...

Critical gaps in the medical knowledge base of eating disorders.

Eating disorders are unique in that they inherently have much medical comorbidity both as a part of ...

Bone mineral density in midlife long-term users of hormonal contraception in South Africa: relationship with obesity and menopausal status.

BACKGROUND: In South Africa, hormonal contraception is widely used in women over the age of 40 years...

Intelligent judgements over health risks in a spatial agent-based model.

BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basi...

Structure-function properties of hypolipidemic peptides.

This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-l...

Comorbidity Scoring with Causal Disease Networks.

In recent years, there has been numerous studies constructing a disease network with diverse sources...

Obesity as an independent predictive factor for pathologic complete response after neoadjuvant chemoradiation in rectal cancer.

PURPOSE: The predictive role of obesity on pathologic complete response (pCR) after neoadjuvant chem...

Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.

Obesity is increasing worldwide and can cause many chronic conditions such as type-2 diabetes, heart...

Change in hippocampal theta oscillation associated with multiple lever presses in a bimanual two-lever choice task for robot control in rats.

Hippocampal theta oscillations have been implicated in working memory and attentional process, which...

A review of machine learning in obesity.

Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical healt...

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-pre...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction.

Obesity is a major global public health problem. Understanding how energy homeostasis is regulated, ...

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