One major application is in the development of predictive models for cancer diagnosis. By identifying features with high information gain, researchers can build models that accurately predict whether a patient has cancer based on their medical history, genetic markers, and other relevant data. Another important application is in personalized medicine. Information gain can help identify biomarkers that are most relevant for predicting a patient's response to a specific treatment, thereby aiding in the customization of treatment plans.
