Case-presentation-1-YM_1

Step 1: Document Marking

• Environment: R version 4.0.5
• File: preprocessing.R
• Description and Notes:

1. After reading the keywords in the first line, change the path to Train_Textual (or Test_Intuitive/Validation), and change the path name in the third line to your path.
2. Train_Textual should execute lines 33 and 34 to add the response to the training data.
3. Run the file cormorbidity.csv to the folder after it will be generated.

Step 2: Training Model

• Environment: MATLAB R2020a, need to download and install SNN package first (download link: https://www.mathworks.com/matlabcentral/fileexchange/64247-simple-neural-network)
• File：trainNN.m
• Description and Notes:

1. set the path to Train_Textual
2. the confusion matrix will be displayed after execution

Step 3: Test the model

• File: testNN.m

1. Set the path to Test_Intuitive
2. Run the test and it will show the confusion matrix.

Step 4: Generate results

• File：Validation.m

1. Set the path to Validation
2. Copy the variable p to the upload file