1. Data Collection: Gather data on various risk factors such as age, sex, lifestyle, genetic predisposition, and environmental exposures. 2. Risk Factor Analysis: Analyze the collected data to identify which factors are most strongly associated with the health outcome of interest. 3. Scoring Systems: Develop scoring systems or algorithms that quantify the risk based on the identified risk factors. 4. Categorization: Divide the population into different risk categories (e.g., low, medium, high risk) based on the scores. 5. Intervention: Design and implement targeted interventions tailored to each risk category.
