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drug-prediction-api's Introduction

Drug Prediction API

It is a simple api that used Decision Tree Classifier to predict the suitable drug for a patient with given conditions. The features include

  • Age
  • Sex (0: Female, 1: Male)
  • BP Level (0:HIGH, 1: Low, 2: Normal)
  • Cholesterol Level (0:HIGH, 1: Low, 2: Normal)
  • Salt Level

The api can be tested by sending post request with these values.

Example request: Age = 68, Gender = Female, BP= Normal, Cholesterol=Normal and Salt level= 27.10

POST http://127.0.0.1:8000/?age=68&gender=0&bp=2&cholesterol=2&salt=27.10

Steps to runserver

  • Clone the repository
  • Setup the virtual environment: $ conda create --name myenv --file requirements.txt
  • Activate conda environment: $ conda activate myenv
  • Install packages from pip: $ pip install djangorestframework pydotplus
  • Start the server. $python manage.py runserver

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