AI-Enhanced Random Forests Predict Chemotherapy Failure

This research explores the application of boosted random forests in a critical medical domain: predicting chemotherapy treatment failure. The novelty lies in leveraging advanced machine learning for improved patient outcomes.

• •Applies AI to predict chemotherapy treatment efficacy.
• •Utilizes a machine learning technique called boosted random forests.
• •Focuses on improving patient outcomes through prediction.