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

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of Big Data vol. 12, no. 1 (Jul 2025), p. 154
Hlavní autor:	Dhanda, Sumit Singh
Další autoři:	Panwar, Deepak, Lin, Chia-Chen, Sharma, Tarun Kumar, Rastogi, Deependra, Bindewari, Shantanu, Singh, Anand, Li, Yung-Hui, Agarwal, Neha, Agarwal, Saurabh
Vydáno:	Springer Nature B.V.
Témata:	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
On-line přístup:	Citation/Abstract Full Text Full Text - PDF
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!