Managing Class Imbalance in Healthcare Models

By Sherin Thomas, Data Scientist

Machine learning (ML) is all about learning from past data to make predictions. We train models on existing data and let it learn patterns on its own. Once trained, the model can make predictions on new data that it has never seen before.

Most machine learning problems fall into two main categories:

• Classification: The goal is to predict which category or label a data point belongs to. For example, predicting whether a patient has diabetes or not.
• Regression: The goal is to predict a…