Behavioral marker-based predictive modeling of functional status for older adults with subjective cognitive decline and mild cognitive impairment: Study protocol
Our study will contribute to the development of self-care interventions that utilize behavioral data and machine learning techniques to provide automated analyses of the functional decline of older adults who are at risk for dementia.
Authors
- Sarah Soyeon Oh (ORCID: https://orcid.org/0000-0001-5709-2311)
- Seolah Yoon (ORCID: https://orcid.org/0009-0007-9048-0077)
- Bada Kang (ORCID: https://orcid.org/0000-0002-7002-2315)
- I. S. Jeong (ORCID: https://orcid.org/0009-0003-1916-8380)
- Jennifer Ivy Kim (ORCID: https://orcid.org/0000-0003-1845-2200)
- Seok‐Jae Heo (ORCID: https://orcid.org/0000-0002-8764-7995)
- Jinkyoung Ma
Institutions
- Harvard University (US)
- Yong In University (KR)
- Yonsei University (KR)
- GF Strong Rehabilitation Centre (CA)
- Naver (South Korea) (KR)
Publication Details
- Journal
- Digital Health
- Published
- 2024-08-25
- DOI
- https://doi.org/10.1177/20552076241269555
- Citations
- 6
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea