Clinical_text_classification

Problem Statement:

In this casestudy we are going to classify clinical text into different categories. Here the text is in clinical domain and carry the information about category of disease.

Dataset:

• Dataset consist of text files which contains summary of clinical text along with label.

Models:

1. Here we train simple LSTM model for text classification.
2. Bert model is fine tuned on dataset.

Deployment:

• Simple streamlit application created and docker image created.

• Same application deployed on local cluster.

• Application deployed on huggingface space.