A hospital uses a data-driven approach to improve patient care. They identify that patients with similar conditions respond differently to treatments based on demographic factors. Which data analysis technique should the hospital use to ensure personalized patient care?

Cluster analysis groups similar data points into clusters based on shared attributes. In healthcare, it can be used to group patients with similar demographic and health conditions, enabling personalized treatment strategies. By identifying clusters, hospitals can predict the effectiveness of treatments for each group, ensuring targeted care. Option A : A/B testing compares two treatments but doesn’t create clusters for personalized care. Option B : Customer segmentation applies to marketing but doesn’t directly address patient care. Option C : Predictive modeling forecasts outcomes but doesn’t group similar patients. Option E : Risk scoring assesses health risks but doesn’t enable personalized care.