Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations

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Detalles Bibliográficos
Publicado en:	Journal of Big Data vol. 12, no. 1 (Jul 2025), p. 154
Autor principal:	Dhanda, Sumit Singh
Otros Autores:	Panwar, Deepak, Lin, Chia-Chen, Sharma, Tarun Kumar, Rastogi, Deependra, Bindewari, Shantanu, Singh, Anand, Li, Yung-Hui, Agarwal, Neha, Agarwal, Saurabh
Publicado:	Springer Nature B.V.
Materias:	Infectious diseases Mental health Surveillance Datasets Trends Health care policy Epidemiology Boolean Public health Optimization Chronic illnesses Environmental health Data analysis Disease prevention Ethics Machine learning Explainable artificial intelligence Tempering Keywords Global health Customization Accuracy Research methodology Outbreaks Emergency preparedness Health education Neural networks Artificial intelligence Epidemics Well being Algorithms Deep learning Real time Precision medicine Forecasting Big Data Cancer Disease Efficacy Predictions Infrastructure Privacy Genomics Intelligence Narratives Health planning Errors Risk assessment Ethical dilemmas Data Emergency admissions Hospitalization Deployment Medicine Public works Natural language processing
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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