Primary Care

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Showing 4789-4809 of 13,000 articles
Artificial Intelligence to Predict Chronic Kidney Disease Progression to Kidney Failure: A Narrative Review.

Chronic kidney disease is characterised by the progressive loss of kidney function. However, predict...

Jan 2025 39763163
Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey.

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiov...

Jan 2025 39805606
Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group...

Jan 2025 39819060
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach.

Hypertension, often known as high blood pressure, is a major concern to millions of individuals glob...

Jan 2025 39905861
Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques.

Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) s...

Jan 2025 39995025
[Primary angle closure suspects: application of machine learning method for substantiation of close monitoring].

UNLABELLED: One of the priority areas in healthcare is the concept of predictive, preventive and per...

Jan 2025 40353543
Creating Chemiluminescence Signature Arrays Coupled with Machine Learning for Alzheimer's Disease Serum Diagnosis.

Although omics and multi-omics approaches are the most used methods to create signature arrays for l...

Jan 2025 40357359
Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases

Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical i...

Robust Speech and Natural Language Processing Models for Depression Screening

Depression is a global health concern with a critical need for increased patient screening. Speech...

Collective sleep and activity patterns of college students from wearable devices

To optimize interventions for improving wellness, it is essential to understand habits, which wear...

A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits

In recent years, ML algorithms have been shown to be useful for predicting diseases based on healt...

Homogenization of Ordinary Differential Equations for the Fast Prediction of Diabetes Progression

The impact of physical activity on a person's progression to type 2 diabetes is multifaceted. Syst...

Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model.

In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined...

Dec 2024 39705459
Decade of Natural Language Processing in Chronic Pain: A Systematic Review

In recent years, the intersection of Natural Language Processing (NLP) and public health has opene...

PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children

Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challen...

Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review

This systematic review explores the use of machine learning (ML) in predicting diabetes, focusing ...

Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations

One of the goals of personalized medicine is to tailor diagnostics to individual patients. Diagnos...

Streamlining Systematic Reviews: A Novel Application of Large Language Models

Systematic reviews (SRs) are essential for evidence-based guidelines but are often limited by the ...

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

The imperative for early detection of type 2 diabetes mellitus (T2DM) is challenged by its asympto...

CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models

The obesity phenomenon, known as the heavy issue, is a leading cause of preventable chronic diseas...

An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation

Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them ...

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