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14H034160212 / HHH-An-Online-Question-Answering-System-for-Medical-Questions

HBAM: Hierarchical Bi-directional Word Attention Model
https://arxiv.org/pdf/2002.03140.pdf
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How to run code locally #2

Closed Muzammil-Elahi closed 2 years ago

Muzammil-Elahi commented 2 years ago

Good afternoon, I would like to run the code locally. Which file should I run to start the GUI? Is there anything I have to do besides loading the data into the database?

14H034160212 commented 2 years ago

Hi,

Thanks for your interest in this project. In this project, we establish a new medical sentence similarity computation model called HBAM.

You can follow the installation step in the readme file as following shown.

conda create -n hhh python=3.6
conda activate hhh
git clone https://github.com/14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions.git
cd HHH-An-Online-Question-Answering-System-for-Medical-Questions
pip install -r requirements.txt

Then you can run the experiment inside each folder (BERT_fine_tuning, BiLSTM+Attention, HBAM, and MaLSTM). I list the exact step and needed packages to run the code.

Medical Knowledge Graph Establish, GUI and website The main code is based on the following link. You need to run the build_medicalgraph.py to establish the knowledge graph before you use it. Then you may run GUI.py to run the GUI interface. You can also run chatbot_graph.py which will allow you to chat in command. You can also run server.py to start the website and chat. https://github.com/14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions/tree/master/Medical_knowledge_graph_establishment/MedicalKBQA