The Deep Learning LSTM and MTD Models Best Predict Acute Respiratory Infection among Under-Five-Year Old Children in Somaliland

The Deep Learning LSTM and MTD Models Best Predict Acute Respiratory Infection among Under-Five-Year Old Children in Somaliland

The most effective techniques for predicting time series patterns include machine learning and classical time series methods. The aim of this study is to search for the best artificial intelligence and classical forecasting techniques that can predict the spread of acute respiratory infection (ARI)...

Full description

Bibliographic Details
Main Author: Mohamed Yusuf Hassan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Symmetry
Subjects:
artificial intelligence
training data
Pearson correlation
Dickey–Fuller test
long short-term memory
machine learning
Online Access:https://www.mdpi.com/2073-8994/13/7/1156

Internet

https://www.mdpi.com/2073-8994/13/7/1156

Similar Items