Drug-Recommending-System

Ref: https://nbviewer.org/github/elfhub97/Drug-Recommending-System/blob/main/DRUG%20Prescribtion.ipynb

Objective

To design a Drug Recommending system based on patient condition.

Data

Licence: CC0: Public Domain

The prediction sets are:

Drug type

The feature sets are:

Age
Sex
Blood Pressure Levels (BP)
Cholesterol Levels
Na to Potassium Ration

We have to predict the drug which is appropriate to treat to a patient based on details diven in the feature sets. By using trained data we can predict the recommened drug when new test data is given by user.

ML Algorthims Used:

• KNN Classifier
• Random Forest Classifier
• Bagging Classifier
• Adaboost Classifier
• Gradientboot Classifier
• Decision Tree Classifier