You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

This is a classification model for monitoring dysphagia, which based on PatchTST.

  • ./data : train_dataset, test_dataset

  • ./answer: predict answer

  • ./save_models: model

Use python ./PatchTST_Dysphagia.py can get the answer.

18/01/2025

We add the experiment models in ./exp:

  • decision tree

  • knn

  • logistic regression

  • random forest

  • svm

Use python ./run.py --config ./config.yaml can get the answers

All parameters in config.yaml can be changed.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support