Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors

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Abstract
Artificial Intelligence (AI) and Big Data offer new possibilities for health care systems to analyse clinical data by integrating them with external sources such as environmental and demographic data sets [1,2]. Within this field, Machine Learning (ML) algorithms can detect patterns in complex data sets and generate predictive models to support real-time clinical decision-making [2–4]. […]

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