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Smart city article details
| Title | Ai-Driven Healthcare Infrastructure For Smart Cities Using Privacy Preserved Decision Trees To Secure The Patient Data |
|---|---|
| ID_Doc | 7025 |
| Authors | Panwar N.; Kumar N.; Sunil Kumar M.; Rafeeq M.; Rajeswari P.; Meenakshi S. |
| Year | 2024 |
| Published | 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 |
| DOI | http://dx.doi.org/10.1109/ICCCNT61001.2024.10725216 |
| Abstract | 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. © 2024 IEEE. |
| Author Keywords | AI-driven healthcare; decision trees; patient data security; privacy preservation; Smart cities |
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