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Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.

Na TangMaoxiang YuanZhijun ChenJian MaRui SunYi-de YangQuanyuan HeXiaowei GuoShixiong HuJunhua Zhou
Published in: International journal of environmental research and public health (2023)
, successfully mimics the actual incidence, and the peak incidence highly coincides with the actual aggregation time, with a high accuracy and a minimum error. Taken together, these data suggest that the BP neural network model can predict the incidence trend of tuberculosis in Changde City.
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