Paper Reading Journals #5
Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset
Basic Info
| Item | Content |
|---|---|
| Title | Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset |
| Journal | IEEE Access |
| Author | Basheer S, Bhatia S, Sakri S |
| Year Published | 2021 |
| Link | https://doi.org/10.1109/ACCESS.2021.3066213 |
| Geography of Study | N/A |
| Area of Study | Alzheimer’s disease prediction |
Description
(Including data and methods)
This study use OASIS dataset including demographic and clinical variables, driven by multiple machine learning methods to predict Alzehimer’s disease. The modified capsule network provides the best results among all other methods.
Main Contribution
(Innovative method or Application)
Innovation Type: Application Innovation It demonstrate the ability of using modified casule neural network in predicting dementia status
Data Source
- OASIS (Open Access Series of Imaging Studies)
- Clinical Dementia Rating (CDR) scores, demographic variables, and other imaing classifcation inputs
Favorite Thing
I like how they compare and contrast their resutls with other avaliable machine leraning method. This does not only illustrate the advantages of their data, but also indicate which type of method is good for dementia disease prediction.