A data-driven approach towards an e-health platform for dementia intervention
S. Stock, M. Schinle, M. Gerdes, W. Stork
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AbstractGlobally, only 20-50% of dementia cases are diagnosed, indicating a major gap in the identification and treatment of this neurological disorder. Despite this, there is widespread agreement among both doctors and patients (Schinle et al., 2022) on the value of early diagnosis to adjust care and daily routines effectively. To address this issue, the German federal government launched a national dementia strategy in 2020. Current research (Livingston et al., 2020), suggests that early treatment of certain risk factors could prevent or slow down one-third of dementia cases. The METIS project is based on the understanding that dementia is caused by complex processes which are linked to individual risk profiles and aims to make personalized treatment strategies for neurodegenerative diseases more accessible through an e-health platform.Keywords: DiGA (Digital Healthcare Application), AI-plattform, biometric data, data science, usability, patient app, smartphone, internet of medical things
S. Stock, M. Schinle, M. Gerdes, W. Stork (2024). A data-driven approach towards an e-health platform for dementia intervention. Gerontechnology, 23(2), 6-6
https://doi.org/10.4017/gt.2024.23.s.862.6.sp