Primary Care

Obesity

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

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Showing 232-252 of 1,198 articles
Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort.

INTRODUCTION: Hypertension is a significant public health concern. Several relevant risk factors hav...

Can ChatGPT 4.0 Diagnose Acute Aortic Dissection? Integrating Artificial Intelligence into Medical Diagnostics.

Acute aortic dissection (AD) is a critical condition characterized by high mortality and frequent mi...

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...

Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models.

Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradua...

Prediction of p-phenylenediamine antioxidant concentrations in human urine using machine learning models.

p-phenylenediamine antioxidants (PPDs) are extensively used in rubber manufacturing for their potent...

Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

BACKGROUND: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - incom...

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, life...

Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.

BACKGROUND: Mexico has one of the highest global incidences of paediatric overweight and obesity. Pu...

Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study.

Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of ind...

Interpretable machine learning for identifying overweight and obesity risk factors of older adults in China.

OBJECTIVE: To estimate the importance of risk factors on overweight/obesity among older adults by co...

A novel fuzzy three-valued logic computational framework in machine learning for medicine dataset.

For consideration of uncertainties of a medicine dataset, a new conceptual architecture fuzzy three-...

Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prol...

Exercise improves body composition, physical fitness, and blood levels of C-peptide and IGF-1 in 11- to 12-year-old boys with obesity.

INTRODUCTION: Exercise is vital in preventing and treating obesity. Despite its importance, the unde...

Analyzing Secondary Cancer Risk: A Machine Learning Approach.

OBJECTIVE: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Add...

Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers.

This study proposes a framework to stratify vascular disease patients based on brain health and cere...

Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.

This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (...

Utilising causal inference methods to estimate effects and strategise interventions in observational health data.

Randomised controlled trials (RCTs) are the gold standard for evaluating health interventions but of...

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