Is AI’s Prediction Of Epidemics Really Reliable?
The new coronavirus suddenly swept the world in 2019. So far, we have gradually entered the post-epidemic era, and people's desire to "predict the next pandemic" has never been as urgent as it is now. AI-driven epidemic prediction relies on cutting-edge technologies such as machine learning and big data analysis to try to detect subtle signs of disease in advance from massive amounts of non-traditional data to gain a valuable "golden window" for public health decision-making. It is no longer just the stuff of science fiction, but is becoming a key core force in reshaping the way we deal with infectious diseases. Is AI accurate in predicting epidemics? When discussing accuracy, the first thing we need to do is to understand the essential differences between AI predictions and traditional models. Traditional epidemiological models, like the SIR model, rely on clear and exact historical incidence rates and parameter assumptions. However, what AI models are good ...