Public Health & Policy

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

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Showing 461-480 of 11,066 articles

Identification of depression types and key influencing factors among rural elderly in China: a comprehensive analysis based on machine learning and network analysis.

BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural China. In rural settings, the heavy burden of chronic diseases, inadequate medical resources, insufficient family support, and economic stress may lead to the heterogeneous manifestations of depressive symptoms. Most conventional studies adopt depression scores or cut-off standard-based classificati...

Jun 17 2026 42310574

From out-of-pocket to prepaid financing? projected health expenditure and financing mix in Egypt, 1995-2050.

BACKGROUND: Egypt's health financing is characterised by persistently high out-of-pocket (OOP) payments exceeding 50% of total health expenditure and a declining government share, threatening financial protection and universal health coverage (UHC). Despite the 2018 Universal Health Insurance Law, whether current trends can achieve Egypt's OOP reduction targets by 2030 remains unknown. We aim to q...

Jun 17 2026 42310719
Identification of host gene transcripts by machine learning and their application to predict outcome in Ebola virus disease.

BACKGROUND: In humans, Ebola virus disease (EVD) has a high mortality rate. While viral load is a known prognostic factor, it is not effective in pred...

Jun 17 2026 42308527
Determinants of childhood and adolescent obesity: An explainable AI approach using the ICAD database.

OBJECTIVES: To identify the biological, behavioural, and socio-demographic determinants of childhood and adolescent obesity and evaluate how their rel...

Jun 17 2026 42308771
Post-Pandemic Forecasting of Pediatric Acute Respiratory Infections with Deep Learning: A Multi-Pathogen, Multi-Time-Horizon Study.

BACKGROUND: Acute respiratory infections (ARIs) remain a major cause of morbidity and hospitalization in children worldwide. In the post-COVID-19 era,...

Jun 17 2026 42309480
Robust adaptive fault-tolerant learning control for human height-weight prediction based on DNN.

In this paper, a distributed robust adaptive confined fault-tolerant optimal control method based on deep neural networks is proposed, aiming to solve...

Jun 17 2026 42310389
EpiGIS pro: an AI-powered geospatial intelligence platform for integrated disease surveillance and predictive analytics.

BACKGROUND: Global infectious disease surveillance requires timely integration of heterogeneous data sources. Existing platforms typically address onl...

Jun 16 2026 42304469
Validation of latent health behaviour subtypes in young and middle-aged adults with hypertension: a machine learning-augmented LCA approach with external cohort replication.

AIMS: To validate behavioural subtypes among young and middle-aged hypertensive patients using latent class analysis (LCA) and assess their generaliza...

Jun 16 2026 41492921
Bridging the Disclosure Gap: AI's Potential Role in Suicide Prevention.

Conversational artificial intelligence (AI) tools-specifically, general-purpose large language models-are increasingly used by individuals to disclose...

Jun 16 2026 42298343
Development and validation of a digital pathology artificial intelligence (DPAI)-derived risk score predicting Gleason grade group reclassification for patients who are candidates for active surveillance.

AIMS: Active surveillance (AS) allows selected men with localized prostate cancer to defer curative therapy and reduce treatment morbidity. Conversion...

Jun 16 2026 42299723
Application of Language Models for the Analysis of Adverse Drug Events in Pharmaceutical Research and Development: Scoping Review.

BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...

Jun 16 2026 42302306
Geospatial and machine learning approaches for malaria risk mapping in flood-prone districts: Implications for public health decision-making.

OBJECTIVES: Malaria remains a major public health concern in flood-prone districts where environmental vulnerability and weak health infrastructure ex...

Jun 16 2026 42302577
Experts' Opinions on the Sustainable Use of Digital Health Tools for Effective Future Pandemic Preparedness and Response: Questionnaire Study.

BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhancing pandemic preparedness and response. These tools...

Jun 16 2026 42303248
Identifying Older Adults at Risk for Future Poor Sleep Quality: A Multidimensional Predictive Framework.

OBJECTIVE: To identify multidimensional risk factors associated with poor sleep quality and to develop and temporally validate a machine learning-base...

Jun 16 2026 42303583
Early and late mortality among patients with T1-T3 head and neck squamous cell carcinoma: a machine learning analysis using a SEER population-based cohort study.

Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality within 6 months of diagnosis remains a substantial clin...

Jun 16 2026 42303660
Diagnostic performance of discriminant formulas and machine learning models for detecting β-thalassemia trait in Bangladesh.

BACKGROUND: β-thalassemia poses a considerable public health burden in Bangladesh, where a high carrier frequency underlies widespread disease risk. I...

Jun 16 2026 42302074
Interpretable Machine Learning in Heavy Metal-Associated Cardiovascular and Metabolic Disease: A Review of Current Methodologies, Toxicological Insights, and Clinical Implications.

Heavy metals, including lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), are pervasive environmental toxicants increasingly recognized as nont...

Jun 15 2026 42289619
Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study.

BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not...

Jun 15 2026 42294587
When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

AIM: This qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced b...

Jun 15 2026 42294818
Smart Technology, Fragile Hearts: Navigating AI's Challenges and Limitations in Heart Failure Management.

PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, ri...

Jun 15 2026 42295460
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