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Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning

Background: Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative, fatal and currently incurable disease. People with ALS need support from informal caregivers due to the motor and cognitive decline caused by the disease. Objectives: This study aims to identify caregivers whose quality of life (QoL) may be impacted as a result of caring for a person with ALS.

Sun, 06/12/2022 - 13:42

Evaluating User Engagement with a Reminiscence App Using Cross-Comparative Analysis of User Event Logs and Qualitative Data

The aim of this study was to evaluate the usage of a reminiscence app by people living with dementia and their family carers, by comparing event log data generated from app usage alongside the qualitative experience of the process. A cross-comparative analysis of electronic event logging data with qualitative interview data was conducted. Electronic event logging data were obtained for 28 participating dyads (n = 56) and the interview sample comprised 14 people living with dementia and 16 family carers (n = 30).

Mon, 10/14/2019 - 11:58