https://github.com/jibril14/e-health-django-machine-learning

Machine Learning-Django application where patient can register, predict there Diabetes status, and build a medical history
https://github.com/jibril14/e-health-django-machine-learning

backend bootstrap django-application machine-learning regression-models supervised-learning

Last synced: 20 days ago
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Machine Learning-Django application where patient can register, predict there Diabetes status, and build a medical history

• Host: GitHub
• URL: https://github.com/jibril14/e-health-django-machine-learning
• Owner: Jibril14
• Created: 2023-04-16T12:49:21.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-16T14:36:14.000Z (almost 2 years ago)
• Last Synced: 2024-11-22T00:46:42.965Z (3 months ago)
• Topics: backend, bootstrap, django-application, machine-learning, regression-models, supervised-learning
• Language: CSS
• Homepage:
• Size: 12.5 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# E-Health

EHealth is an online Medical website where patient can register, predict there Diabetes status, and build a medical history. This project uses diabetes dataset related to people (age, sex, bmi, ldl etc..) who have been given a value that corresponds to a certain progression of diabetes. A machine learning model was developed with a test set for evaluating model (30% testing & 70% training) and then use to build this app. for every user inputs of (age, sex, bmi, ldl etc…) a prediction of a certain progression of diabetes can be made before having clinical trials.

  Built with Django, Pandas, scikit-learn Bootstrap and Javascript.

![EHealth](sample/sample1.png)

![EHealth](sample/sample2.png)

![EHealth](sample/sample3.png)

![EHealth](sample/sample1.gif)

![EHealth](sample/sample.gif)

### App Features

-   Machine learning prediction model for diabetes.

-   Multiple custom user type Doctor/Patient.

-   Patient can register, predict there Diabetes status, and build a medical history

-   Admin can view Patient information and medical history.

-   Patient can view, download results of diabetes & medical history recorded in PDF format.

### How to Set up the application

Open terminal and use git clone command to download the remote Github repository to your computer

```bash

  1. git clone 

  2. cd e_health

  3. python3 -m venv venv

  4. venv/bin/activate

  5. pip3 install -r requirements.txt

  6. Generate a new secret key or use default

  7. python manage.py makemigrations

  8. python manage.py migrate

  9. python manage.py createsuperuser

  10. python manage.py runserver

  11. visit live server at http://127.0.0.1:8000/