What are the Specific Applications of K Means Clustering in Epidemiology?
Several specific applications of K Means Clustering in epidemiology include:
Disease Outbreak Detection: Clustering can help identify regions or populations where disease outbreaks are occurring or are likely to occur. Risk Factor Analysis: It can be used to group individuals based on shared risk factors, aiding in targeted prevention strategies. Health Outcome Prediction: It can help predict health outcomes by clustering patients with similar medical histories or characteristics. Resource Allocation: By identifying high-risk areas, resources can be more effectively allocated to areas with the greatest need.
