How are Statistical Models Used to Predict Cancer Risk?
Statistical models such as logistic regression and machine learning algorithms are employed to predict cancer risk. These models analyze multiple risk factors (e.g., genetic predispositions, lifestyle factors) to estimate an individual's likelihood of developing cancer. Predictive models aid in the early detection of cancer and in the identification of high-risk populations, facilitating targeted screening and prevention strategies.
