Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Karolinska Institutet · Blekinge Institute of Technology · +2 more institutions
Abstract
Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided automated solutions to numerous real-world problems. Healthcare is one of the most important research areas for ML researchers, with the aim of developing automated disease prediction systems. One of the disease detection problems that AI and ML researchers have focused on is dementia detection using ML methods. Numerous automated diagnostic systems based on ML techniques for early prediction of dementia have been proposed in the literature. Few systematic literature reviews (SLR) have been conducted for dementia prediction based on ML techniques in the past. However, these SLR focused on a single type of data modality…
Citation impact
- FWCI
- 35.15
- Percentile
- 100%
- References
- 135
Authors
6Topics & keywords
- Dementia
- Modalities
- Computer science
- Artificial intelligence
- Machine learning
- Modality (human–computer interaction)
- Feature selection
- Health informatics