https://github.com/shadmanshaikh/diabetes_prediction_model

A Deep Learning web app to predict diabetes in a patient
https://github.com/shadmanshaikh/diabetes_prediction_model

deeplea detection diabetes forest machine-learning python random streamlit webapp

Last synced: about 20 hours ago
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A Deep Learning web app to predict diabetes in a patient

• Host: GitHub
• URL: https://github.com/shadmanshaikh/diabetes_prediction_model
• Owner: shadmanshaikh
• License: mit
• Created: 2022-09-09T17:19:58.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-10T07:36:03.000Z (over 2 years ago)
• Last Synced: 2024-01-28T21:39:50.776Z (12 months ago)
• Topics: deeplea, detection, diabetes, forest, machine-learning, python, random, streamlit, webapp
• Language: Python
• Homepage:
• Size: 1.36 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Diabetes Detection System

![MIT LICENSE](https://badgen.net//badge/license/MIT/green)   ![MAINTAINED BADGE](https://img.shields.io/badge/Maintained%3F-yes-green.svg) 

# The demo of the site is hosted on [streamlit](https://shady4real-diabetes-prediction-model-diabetes-6c5t3y.streamlitapp.com/)

## Problem Statement

How a diabetic patient can be tested and diagnosed with proper treatment.

![image](https://github.com/shady4real/diabetes_prediction_model/blob/main/diabetic_patient.jpg?raw=true)

## Topics to know

Incase you are not familiar with RandomForestClassifier,  go through some reasearch paper provided below.

* Yann LeCun et al., 1998,[ Efficient BackProp](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)

* By Xavier Glorot et al., 2011 [Deep sparse rectifier neural networks](http://jmlr.org/proceedings/papers/v15/glorot11a/glorot11a.pdf)

## Installation

Install all requirements by running the following command

> pip install requirements.txt

## Run it on [Google Colab](https://colab.research.google.com/) or JupyterNotebook

* To access and use the project, download or clone the repository. 

* To run the project on Jupyter notebook first install [anaconda](https://www.anaconda.com/products/distribution)

* and then run it on command line with following command.

> jupyter notebook

## Screenshot of the web application

![image](https://github.com/shady4real/diabetes_prediction_model/blob/main/snapshots/ss_01.png)

![image](https://github.com/shady4real/diabetes_prediction_model/blob/main/snapshots/ss_02.png)

![image](https://github.com/shady4real/diabetes_prediction_model/blob/main/snapshots/ss_03.png)

![image](https://github.com/shady4real/diabetes_prediction_model/blob/main/snapshots/ss_04.png)

## Issues 

Incase you have any difficulties or issues while trying to run the app you can raise it on the issues section. 

## Pull Requests

If you have something to add or new idea to implement, you are welcome to create a pull requests on improvement.

## Give it a Star

If you find this repo useful , give it a star so as many people can get to know it.

## Credits

All the credits to [shadman](https://instagram.com/finder.ai)