THE ROLE OF AI IN PREDICTING DISEASE OUTBREAKS
DOI:
https://doi.org/10.71465/bhsr59Keywords:
Artificial Intelligence, Disease Prediction, Epidemiology, Machine Learning, Public Health, Big DataAbstract
Artificial Intelligence (AI) has emerged as a crucial tool in predicting disease outbreaks, revolutionizing public health surveillance and response systems. By leveraging machine learning algorithms, big data analytics, and deep learning techniques, AI can analyze vast datasets to detect patterns, identify risk factors, and forecast potential outbreaks with remarkable accuracy. This paper explores the various applications of AI in epidemiology, discussing its role in data collection, analysis, and prediction of infectious diseases such as COVID-19, influenza, and dengue fever. We also examine the challenges associated with AI-driven disease prediction, including data privacy concerns, ethical considerations, and the need for robust AI frameworks. The study provides insights into the future of AI in global health security, emphasizing its potential to enhance early warning systems and disease prevention strategies.
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