[HTML][HTML] Artificial intelligence and obesity management: an obesity medicine association (OMA) clinical practice statement (CPS) 2023
HE Bays, A Fitch, S Cuda, S Gonsahn-Bollie, E Rickey… - Obesity Pillars, 2023 - Elsevier
Abstract Background This Obesity Medicine Association (OMA) Clinical Practice Statement
(CPS) provides clinicians an overview of Artificial Intelligence, focused on the management …
(CPS) provides clinicians an overview of Artificial Intelligence, focused on the management …
Interventions to address cardiovascular risk in obese patients: many hands make light work
Obesity is a growing public health epidemic worldwide and is implicated in slowing
improved life expectancy and increasing cardiovascular (CV) risk; indeed, several obesity …
improved life expectancy and increasing cardiovascular (CV) risk; indeed, several obesity …
Leveraging artificial intelligence and participatory modeling to support paradigm shifts in public health: an application to obesity and evidence-based policymaking
PJ Giabbanelli, G MacEwan - Information, 2024 - mdpi.com
The Provincial Health Services Authority (PHSA) of British Columbia suggested that a
paradigm shift from weight to well-being could address the unintended consequences of …
paradigm shift from weight to well-being could address the unintended consequences of …
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework
The global prevalence of childhood and adolescent obesity is a major concern due to its
association with chronic diseases and long-term health risks. Artificial intelligence …
association with chronic diseases and long-term health risks. Artificial intelligence …
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS …
Background Overweight and obesity pose a huge burden on individuals and society. While
the relationship between lifestyle factors and overweight and obesity is well-established, the …
the relationship between lifestyle factors and overweight and obesity is well-established, the …
Reliable prediction of childhood obesity using only routinely collected EHRs is possible
Objective Identifying children at high risk of developing obesity can offer a critical time to
change the course of the disease before it establishes. Numerous studies have tried to …
change the course of the disease before it establishes. Numerous studies have tried to …
[HTML][HTML] Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
A Daza, AJ Olivos-López, MC Pizarro… - Informatics in Medicine …, 2024 - Elsevier
Background Diabetes is one of the most common pathologies today and has become a
constant problem in public health worldwide. Objective The purpose of this study is to …
constant problem in public health worldwide. Objective The purpose of this study is to …