AI-Driven Healthcare Infrastructure for Smart Cities Using Privacy Preserved Decision Trees to Secure the Patient Data

The demand for efficient healthcare services is rising as urbanization grow in smart cities. The patient data security and privacy maintenance remains a significant challenge in smart cities. This research develops a healthcare smart cities infrastructure using decision trees to tackles a issue on privacy. The patient data vulnerability to unauthorized access and breaches in healthcare systems maintains a lacks of a balance between accuracy and privacy protection. The privacy preservation with decision tree creates a robust framework. Extensive validation has shown the proposed infrastructure in protecting and ensuring healthcare decision-making. This research provides a solution for managing effectively the patient data in healthcare systems.