https://github.com/andywxf/Predict_CAHD_by_ECG_on_UK_Biobank

https://github.com/andywxf/Predict_CAHD_by_ECG_on_UK_Biobank

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/andywxf/Predict_CAHD_by_ECG_on_UK_Biobank
• Owner: andywxf
• Created: 2021-11-10T10:56:33.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-21T12:47:00.000Z (over 1 year ago)
• Last Synced: 2024-01-17T01:04:48.796Z (6 months ago)
• Language: Python
• Size: 6.95 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-uk-biobank - CAHDbyECG

README

        
# Predict_CAHD_by_ECG_on_UK_Biobank

This project contains 4 code files and a data set information file, which are briefly introduced as follows:

1. CAHD_merged_raw_signal_into_one_beat

   merged raw signal matrix [12,5000] to one beat[12,460] #460 can change

    

2. CAHD_machine_learning

   Traditional machine learning methods are used to predict CAHD

   

   

3. CAHD_merged_beat_model

   Deep learning method based on merged beat

4. CAHD_Sample_info.csv   

 All the sample information used in the experiment, the label  1 is the CAHD sample. For copyright reasons, please download the raw ECG file from the UK biobank. 

5. Supplement file.pdf   

 Description of 34 clinical features and parameters of the Xgboost method.