Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural data

Key Points

• Optimal locations for automated external defibrillators were identified using machine learning techniques, improving accessibility.
• The machine learning model utilized demographic and infrastructural data to find the best AED placements.
• An extensive evaluation showed significant accuracy in predicting effective AED locations across the city.
• This approach highlights the need for strategic AED placement based on local data for better emergency response.