A Comparison on LSTM Deep Learning Method and Random Walk Model Used on Financial and Medical Applications: An Example in COVID-19 Development Prediction
Table 2
Structure details of the article.
Section
Objective
Introduction
To clarify the research background and deep learning models as well as the article structure.
Literature review
To clarify the related work in the current topic.
Methodology
To introduce the mathematical principle of LSTM and Random Walk model.
Data collection
To introduce the data source.
Implementation
To train the models applied in financial and medical issues.
Discussion
To discuss the LSTM model performance and parameter settings in financial and medical cases.
Conclusion and future work
To give the final conclusion and future work suggestions.
