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This paper reviews the implementation of recommendation system algorithms for diagnosing chronic kidney disease (CKD) based on patient medical records. It discusses the current state of CKD diagnosis, the methodologies used in recommendation systems, and highlights the need for improved data processing and further research in this area. The findings aim to serve as a foundation for future advancements in CKD diagnosis models utilizing recommendation systems.

Author

KENNY

Language

EN