Abstract
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.
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Besik, S.I., Alpaslan, F.N. (2019). RHCS - A Clinical Recommendation System for Geriatric Patients. In: Gadepally, V., Mattson, T., Stonebraker, M., Wang, F., Luo, G., Teodoro, G. (eds) Heterogeneous Data Management, Polystores, and Analytics for Healthcare. DMAH Poly 2018 2018. Lecture Notes in Computer Science(), vol 11470. Springer, Cham. https://doi.org/10.1007/978-3-030-14177-6_10
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