Machine-learning model Dockerized FastAPI Sepsis Prediction

Description

Welcome to the Sepsis Prediction FastAPI application!

This application allows you to predict sepsis in patients using a machine-learning model.

Introduction

In this project, we'll develop a FastAPI web application that predicts whether a patient has sepsis based on various medical attributes.

Setup

Install the required packages to be able to run the evaluation locally.

You need to have Python 3 on your system (a Python version lower than 3.10). Then you can clone this repo and being at the repo's root :: repository_name> ... follow the steps below:

Windows (Python should be added to the Path variable of environment):

  python3 -m venv venv; venv\Scripts\activate; python -m pip install --upgrade pip; python -m pip install -r requirements.txt

Linux & MacOs:

  python3 -m venv venv; source venv/bin/activate; python -m pip install --upgrade pip; python -m pip install -r requirements.txt

The both long command-lines have a same structure, they pipe multiple commands using the symbol ; but you may manually execute them one after another.

Create the Python's virtual environment that isolates the required libraries of the project to avoid conflicts;
Activate the Python's virtual environment so that the Python kernel & libraries will be those of the isolated environment;
Upgrade Pip, the installed libraries/packages manager to have the up-to-date version that will work correctly;
Install the required libraries/packages listed in the requirements.txt file so that it will be allow to import them into the python's scripts and notebooks without any issue.

Getting Started

To run this application, follow these steps:

Clone the Repository: Clone this repository to your local machine.
Navigate to the Directory: Open a terminal and navigate to the cloned repository directory.
Install Docker: Ensure that you have Docker installed on your machine.
Build the Docker Image
Run the dockeer image using the following command:

docker build -t ml-sepsis-prediction-app .

Run the Docker Container: Once the image is built, run the Docker container using the following command: docker run -p 8000:8000 ml-sepsis-prediction-app

Summary

Project's Name	Published Article	Deployed App	Docker Hub Repository
Sepsis Prediction Using Fastapi	Project Article	Deployed App	Docker Hub

Author

Alexianne Imanirakarama

email:[email protected]

My LinkedIn:https://www.linkedin.com/in/imalexianne