RHCS - A Clinical Recommendation System for Geriatric Patients

Beşik, İrem
Alpaslan, Ferda Nur
Medication errors caused by the mistakes of healthcare professionals are still one of the leading causes of death. The problem is even more serious with the elderly people suffering from multiple health problems at the same time. Clinical recommendation systems can be used to prevent such medication errors. In this paper, we present our clinical recommendation system (RHCS) which generates drug recommendations to assist healthcare professionals in making decisions on treatment process of geriatric patients. Geriatric patients refer to elderly patients aged 65 years or over. One of the distinctive points of our study lies in the methodology used, which is empowering collaborative filtering recommendation approach with historical data of geriatric patients. Its ontology-based approach and compatibility with clinical classification systems also make this study prominent. We evaluated RHCS with different types of evaluation metrics, and the results show that it is promising. © 2019, Springer Nature Switzerland AG.
Citation Formats
İ. Beşik and F. N. Alpaslan, “RHCS - A Clinical Recommendation System for Geriatric Patients,” presented at the The 44th Int. Conf. on Very Large Databases (VLDB 2018), 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71241.