Identifying the Polypharmacy Side-Effects in Daily Life Activities of Elders with Dementia
This paper addresses the problem of polypharmacy management in older patients with dementia. We propose a technique that combines semantic technologies with big data machine learning techniques to detect deviations in daily activities which may signal the side effects of a drug-drug interaction. A polypharmacy management knowledge base was developed and used to semantically define drug-drug interactions and to annotate with the help of doctors significant registered deviations from the elders’ routines. The Random Forest Classifier is used to detect the days with significant deviations, while the k-means clustering algorithm is used to automate the deviations annotation process. The results are promising showing that such an approach can be successfully applied for assisting doctors in identifying the effects of polypharmacy in the case of patients with dementia.
This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI UEFISCDI and of the AAL Programme with co-funding from the European Union’s Horizon 2020 research and innovation programme project number AAL 44 / 2017 within PNCDI III.
- 1.Zazo, M.H., et al.: An ontology for drug-drug interactions. In: Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences (2014)Google Scholar
- 2.Ujager, F.S.: Evaluation of wellness detection techniques using complex activities association for smart home ambient. Int. J. Adv. Comput. Sci. Appl. 7(8), 243–253 (2016)Google Scholar
- 4.Hoque, E., et al.: Holmes: a comprehensive anomaly detection system for daily in-home activities. In: Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, pp. 40-51 (2015)Google Scholar
- 5.Civitarese, G., Bettini, C.: Monitoring objects manipulations to detect abnormal behaviors. In: Proceedings of the International Conference on Pervasive Computing and Communications Workshops (2017)Google Scholar
- 6.Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology (2001). https://protegewiki.stanford.edu/wiki/Ontology101