AIMC Topic: Public Health

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Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students.

Scientific reports
Machine learning (ML) is an artificial intelligence tool that focuses on learning by generating models using established algorithms that represent a given dataset. It can be used as a predictive tool for students' academic performance (AP) at both un...

Using Machine Learning Methods to Examine Turnover Rates in State Health Agencies.

Journal of public health management and practice : JPHMP
CONTEXT: High turnover rates in the public health workforce pose ongoing challenges to maintain essential services and institutional knowledge. Recent studies indicate that job dissatisfaction, burnout, and structural barriers have intensified follow...

Leveraging Customer Data Platforms for Public Health: a Strategic Perspective.

Journal of medical systems
Public health increasingly relies on digital infrastructures, yet data remains fragmented across clinical, behavioral, and social domains. Customer Data Platforms (CDPs), originally created in marketing to unify diverse information into dynamic indiv...

Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation.

JMIR public health and surveillance
Machine learning (ML), a subset of artificial intelligence, uses large datasets to identify patterns between potential predictors and outcomes. ML involves iterative learning from data and is increasingly used in population and public health. Example...

Preparing future-ready public health professionals: a blended, AI-integrated pedagogical innovation.

BMC medical education
INTRODUCTION: In the evolving landscape of higher education, especially in public health, innovative pedagogical approaches are essential to promote deeper learning and real-world readiness. This study explored a blended, mixed-method teaching interv...

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study.

JMIR medical informatics
BACKGROUND: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its appl...

The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research.

Implementation science : IS
BACKGROUND: Community-engaged research (CER) leverages knowledge, insights, and expertise of researchers and communities to address complex public health challenges and improve community well-being. CER fosters collaboration throughout all research p...

Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.

BMC public health
The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and primarily affects elderly people and young children. Infodemiology, which uses digital data sources, including social media, online news, and search trend...

Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.

Journal of medical Internet research
BACKGROUND: Health Evidence provides access to quality appraisals for >10,000 evidence syntheses on the effectiveness and cost-effectiveness of public health and health promotion interventions. Maintaining Health Evidence has become increasingly reso...