AI for Healthcare: A Deep Learning Platform for Clinical Time- Series Data

SJSU CMPE 295 Master Project

Team Members:

  • Jerry Huang
  • Jacky Chow
  • Jumana Nadir

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Technologies used:

  • Python for backend
  • Django framework for integration of frontend and backend
  • JavaScript frame work with CSS and HTML for front end
  • PostgreSQL for database
  • Django ORM for database management

Stacks

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ORM for Database

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Steps to run the code:

run locally

  1. Install the postgreSQL in your computer https://www.postgresqltutorial.com/
  2. Clone the github and goto the folder
    $git clone https://github.com/FatherOfLove/SJSU_MASTER_PROJECT.git
    $cd ./Web App Code/Django_V1/chronus-project/
  3. edit the settings.py in the "./Code/Django_V1/chronus-project/chronus/" folder To fit your database setting(database,user name, password and so on).
  4. create a virtual environment with python3
    $virtualenv -p /usr/local/bin/python3 Dependencies
  5. Activate the virtual environment
    $source Dependencies/bin/activate
  6. Install dependencies numpy, scipy, requests,tensorflow, keras
    $pip install -r ./requirements.txt
  7. Run "python manage.py makemigrations"
  8. Run "python manage.py migrate" ---migrate the database
  9. Run "python manage.py runserver" -- this starts the http server using python Django
  10. Open the "http://127.0.0.1:8000/" on browser and use the site.

run in the cloud

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Our AI Engine:

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Dataset Distribution

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Part of our data

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One of our model

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Results

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