Construction of drug safety early warning model for elderly cardiovascular and cerebrovascular diseases based on machine learning

Key Points

• A machine learning model predicts drug safety outcomes in elderly patients with cardiovascular diseases and cerebrovascular diseases.
• Key evidence includes a 35% improvement in early detection of adverse drug reactions over traditional methods.
• This observational analysis utilizes patient data to assess risk factors and model predictions in elderly populations.
• The findings may enhance pharmacovigilance practices, but clinical validation is necessary for general applicability.