Abstract
Patients with dementia will have difficulty properly communicating life’s challenges which can cause them to become agitated, resulting in verbal or physical aggression. Monitoring the risk of a resident harming themselves or others due to aggressive behaviour is a priority within a long-term care facility where dementia is present. Caregivers at long term care facilities record resident health and behaviour digitally either as structured data or unstructured text, providing an on-going log of each resident’s patient history. We aim to use natural language processing (NLP) and machine learning (ML) techniques to develop models that can predict the probability of a resident exhibiting aggressive behaviours that may harm themselves or others within the next week.
Supported by Shannex and Mitacs.
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Tajeddin, M. (2020). Predicting Aggressive Responsive Behaviour Among People with Dementia. In: Goutte, C., Zhu, X. (eds) Advances in Artificial Intelligence. Canadian AI 2020. Lecture Notes in Computer Science(), vol 12109. Springer, Cham. https://doi.org/10.1007/978-3-030-47358-7_58
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DOI: https://doi.org/10.1007/978-3-030-47358-7_58
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