The problem that our applied project aims to solve is that many hospital patients develop allergies due to a number of factors such as administration of certain medications ,treatments, their demographics, etc. By investigating a dataset from Harvard Dataverse with over 30,000 synthetic patient records, we are using Machine Learning analysis to be able to predict what factors impact developments of allergies the most.

analysis.ipynb is the notebook with a majoirty of data visualization and exploration. This files also includes a few different ML models we tested. allergy_prediction.ipynb is the notebook with our final Logistic Regression Model.

pandas - Ppen source data analysis and manipulation tool

matplotlib - Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python

seaborn - Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

Find clearer correlations between differenct factors and allergies

Make more accurate predictions to reduce MSE

Dhyanashri Raman

Uthara Das