2018
DOI: 10.1016/j.ijid.2018.04.4028
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Identifying the Most Vulnerable Groups by Machine Learning during the 2009 Pandemic Influenza in Taiwan

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“…In [12] decision tree algorithm is used to identify the most vulnerable group of people who were at extraordinary risk during the 2009 influenza pandemic in Taiwan. According to the study carried out in [13], Deep Neural Network (DNN) and Long-Short Term Memory (LSTM) learning models could enhance the average performance of prediction produced by Auto-Regressive Integrated Moving Average (ARIMA) by 24% and 19% respectively while predicting the chickenpox.…”
Section: Some Research Work Related To Earlier Virusesmentioning
confidence: 99%
“…In [12] decision tree algorithm is used to identify the most vulnerable group of people who were at extraordinary risk during the 2009 influenza pandemic in Taiwan. According to the study carried out in [13], Deep Neural Network (DNN) and Long-Short Term Memory (LSTM) learning models could enhance the average performance of prediction produced by Auto-Regressive Integrated Moving Average (ARIMA) by 24% and 19% respectively while predicting the chickenpox.…”
Section: Some Research Work Related To Earlier Virusesmentioning
confidence: 99%