Intelligent framework for Dementia onset from user behaviour

   Faculty of Health, Science, Social Care and Education

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  Dr Dora Stroumpouki  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Dementia is a syndrome that deteriorates cognitive ability that affects memory, thinking, comprehension, as well as the ability to perform everyday activities. This starts with a decline in emotional control, social behaviour or motivation. WHO (2020) estimates around 50million people have dementia, with nearly 60% living in low-middle income countries and is projected to reach 82 million in 2030.

This project aims to improve the detection of early signs of dementia, on the basis of behavioural and psychological symptoms of vulnerable individuals (people who live with dementia or dementia related conditions and/or people with learning differences). The focus is on an optimised management framework with smart notifications using machine learning algorithms to help the social care system to support people living with dementia. External factors including underlying health conditions will also be included in the framework to create a checklist. In addition, policies and guidelines will also be explored and embedded in the framework.

This project can support adults, children, or young people transitioning into adulthood with a range of social/medical care needs to maximise their independence, protect their safety and improve their quality of life.

We welcome PhD applications on similar themes to those proposed. We are committed to creating a workplace that promotes and values diversity. We strongly encourage applications from people from diverse backgrounds including gender identity, race, age, class, and ethnicity.

You will normally need a postgraduate masters degree or a first/upper second class honours degree or equivalent in a subject relevant to your proposed research programme. Please check the relevant faculty's research degrees webpage for specific requirements.

Business & Management (5) Nursing & Health (27)
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 About the Project