Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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A stacked ensemble approach for symptom-based monkeypox diagnosis.

The recent monkeypox outbreak has raised global health concerns. Caused by a virus, it is characteri...

Integrating large language models with human expertise for disease detection in electronic health records.

OBJECTIVE: Electronic health records (EHR) are widely available to complement administrative data-ba...

Deep Learning-Enhanced Hand-Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR.

The early detection of high-risk human papillomavirus (HR-HPV) is crucial for the assessment and imp...

Farmers who implemented this, also implemented that: Use of association-rule-learning to improve biosecurity on dairies.

Biosecurity practices are the cornerstone of disease prevention and control programs. In Canada, the...

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.

The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...

[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning.

Smartphone addiction among students has emerged as a critical issue, negatively impacting their acad...

Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.

The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and ...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

[Expert consensus on systematic assessment and treatment of refractory wounds in the elderly (2025 edition)].

Early prevention and standardized management of refractory wounds in the elderly are very important ...

Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models.

BACKGROUND: Identifying determinants of low bone mineral density (BMD) is crucial for understanding ...

Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics.

Differential equations-based epidemiological compartmental systems and deep neural networks-based ar...

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.

The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...

Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.

The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, par...

Participatory Design of an AI-Based CDSS for Delirium Prevention.

Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and...

Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.

The PERMANENS European project addresses the global public health challenge of self-harm and suicide...

Pros, Cons and Limits of AI in Public Health.

This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...

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