Step 1: Collect patient data, including symptoms, medical history, and test results.
Step 2: Use clustering algorithms to analyze the data and find patterns among patients.
Step 3: Group patients with similar symptoms into clusters.
Step 4: Analyze each cluster to understand common characteristics and potential diagnoses.
Step 5: Use the insights from the clusters to plan targeted treatments for each group.
Clustering in Healthcare – Clustering is a data analysis technique used to group similar data points, which in healthcare can help identify patient groups with similar symptoms for better diagnosis and treatment.
