Machine Learning Enabled Management of Behavioural and Psychological Symptoms of Dementia Intervention for Dementia Caregivers

Developing and Testing a Machine Learning Enabled Management of Behavioural and Psychological Symptoms of Dementia Intervention for Dementia Caregivers: A Hybrid Experimental Design Study

Develop and test a machine learning enabled management of behavioural and psychological symptoms of dementia intervention for dementia caregivers.

Inclusion Criteria:

• aged 18 above
• family caregiver of an individual with a confirmed medical diagnosis of any type of dementia who has been residing in the community
• having been providing care for ADLs and IADLs for at least 20 hours per week for at least one year prior to recruitment
• have a smartphone
• have mild to moderate stress (the 14-item Chinese version Perceived Stress Scale).

Exclusion Criteria:

• having participated in any structured mind-body intervention, cognitive therapy, or structured psychosocial intervention in the 6 months prior to recruitment
• having acute psychiatric and medical comorbidities that are potentially life-threatening (e.g. suicidal ideation) or that limit the caregivers' participation or adherence (e.g. acute psychosis)