Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks
A new risk score tool was developed that enables individuals to inspect their risk profiles and explore potential targets for interventions and their estimated contributions to later SCD. Using AI-driven predictive modeling, the tool can aid health care professionals in providing personalized prevention strategies. A dynamic decision heatmap was presented as a communication tool to be used at health care consultations. Our findings suggest that early identification of individuals with SCD could improve targeted intervention strategies for reducing dementia risk. Future research should explore the integration of AI-based risk prediction models into clinical workflows and assess their effectiveness in guiding lifestyle interventions to mitigate SCD and dementia.
Authors
- Antti Etholén (ORCID: https://orcid.org/0000-0002-0238-6838)
- Ioanna Bouri (ORCID: https://orcid.org/0009-0002-6807-2951)
- Anne M. Kouvonen (ORCID: https://orcid.org/0000-0001-6997-8312)
- Tea Lallukka (ORCID: https://orcid.org/0000-0003-3841-3129)
- Teemu Roos (ORCID: https://orcid.org/0000-0001-9470-3759)
- Ossi Rahkonen (ORCID: https://orcid.org/0000-0002-7202-3274)
- Mirja Hänninen (ORCID: https://orcid.org/0000-0002-6807-7333)
- Jenni Kulmala (ORCID: https://orcid.org/0000-0003-0194-5551)
Institutions
- University of Helsinki (FI)
- University of Ulster (GB)
- Tampere University (FI)
- Karolinska Institutet (SE)
- Finnish Institute for Health and Welfare (FI)
- Royal Victoria Hospital (GB)
- Etelä-Karjalan sosiaali ja terveyspiiri (FI)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-06
- DOI
- https://doi.org/10.2196/65028
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47