aidear3 / stroke-prediction-app

A web application to predict the chances of getting a stroke by a patient based on other health factors like hypertension, Smoking habit, etc.

Early Identification of Stroke : Project Overview🎯

A web application to predict the chances of getting stroke by a patient based on other health factors like hypertension, Smoking habit, etc.

• Live app :- https://stroke--prediction.herokuapp.com/home
• The model was trained and validated on 5100+ patient health records.
• Achieved True Positive rate of 0.77 and F1 score of 0.24
• Note Book: Click here!
  
  
  
  

Tools and Technologies used🛠

• Windows 10 OS
• Python 3.7
• Pandas
• Numpy
• Malplotlib
• Seaborn
• Sklearn
• Flask
• HTML
• CSS
• BootStrap
• Deployed on Heroku cloud

Installation☢

Step 1: Download zip file and extract
or
clone this repository
git clone https://github.com/JavSFDev/stroke-prediction-app.git

Step 2: Open your command promt and set app folder as working directory
cd stroke-prediction-app

Step 3: Install dependencies
pip install -r requirements.txt

Step 4: Run the application
python app.py

Step 5: Copy the url from the terminal and open it in your favourite browser.
ex: 127.0.0.1:5000/
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Thank you...!! ❤