Leveraging big data in health care and public health for AI driven talent development in rural areas
Bibliographic Data
| ID | 22067360 |
|---|---|
| Authors | Jing Zhou (0009-0007-8795-5916, Zhejiang Pharmaceutical College), Li Li (0000-0001-9700-9682, Taizhou Vocational and Technical College, corresponding author), Jiahang Su, J-C Su (Huaqiao University) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1524805-1524805 |
| Publication date | 2025-05-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1524805 |
| PMID | 40469603 |
| OpenAlex | W4410571208 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
Introduction: This study proposes a novel Transformer-based approach to enhance talent attraction and retention strategies in rural public health systems. Motivated by the persistent shortage of skilled professionals in underserved areas and the limitations of traditional recruitment methods, we leverage big data analytics and natural language processing to address workforce distribution imbalances. Methods: By analyzing diverse data sources such as social media, surveys, and job satisfaction reports, the Transformer model identifies complex, context-specific factors influencing candidate preferences, including career advancement opportunities, lifestyle alignment, and community engagement. Results: Our framework offers a personalized, data-driven mechanism to match healthcare professionals with rural roles effectively. Experimental results demonstrate significant improvements in recruitment precision and retention forecasting. Discussion: This work contributes a scalable and adaptive solution to rural healthcare workforce challenges, offering valuable insights for policy-makers and public health organizations aiming to revitalize rural health services
Big data · Business · Data mining · Data science · Health care · Health data · Political science · Public health · Artificial Intelligence in Healthcare and Education · Computer Science · Diversity and Career in Medicine · Global Health Workforce Issues · Medicine · Nursing
Neural Graph Collaborative Filtering
LightGCN
Functional fear predicts public health compliance in the Covid-19 pandemic
Friendship and mobility
How Has the Nationwide Public Health Emergency of the Covid-19 Pandemic Affected Older Chinese Adults' Health Literacy, Health Behaviors and Practices, and Social Connectedness? Qualitative Evidence From Urban China
Covid-19 vaccine uptake and associated factors among pregnant women attending antenatal care in Debre Tabor public health institutions
Incentive policy optimization of scientific and technological talents and low-carbon economy analysis from the perspective of public health
A comprehensive review on NUI, multi-sensory interfaces and UX design for applications and devices for visually impaired users
Generation paths of online public opinion impact in public health emergency
Status and Challenges of Public Health Emergency Management in China Related to Covid-19
Diné teachings and public health students informing peers and relatives about vaccine education
Design and recruitment of a large-scale cohort study on prevalence, risk factors and impact evaluation of post-Covid-19 condition and its wider long-term social, mental, and physical health impact
Increasing Receptivity to Covid-19 Public Health Messages with Self-Affirmation and Self vs. Other Framing
Context Matters
Factors Associated with Intention of Serbian Public Health Workers to Leave the Job
The Impact of Student Debt on Career Choices among Doctor of Public Health Graduates in the United States
What Are the Important Factors Influencing the Recruitment and Retention of Doctoral Students in a Public Health Setting? A Discrete Choice Experiment Survey in China
Typologies of stress appraisal and problem-focused coping
Prioritization of public health financing, organization, and workforce transformation
Ethnicity classification systems for public health surveys
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |