How Do Algorithms Assist in Identifying Risk Factors?
Algorithms can sift through vast amounts of health data to identify risk factors associated with diseases. For example, logistic regression can determine the odds of developing a disease based on exposure to certain risk factors like smoking or obesity. Machine learning techniques like random forests can rank the importance of various risk factors, enabling targeted interventions.
