Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease.
Esther E. BronStefan KleinJanne M. PapmaLize C. JiskootVikram VenkatraghavanJara LindersPauline AaltenPeter Paul De DeynGeert Jan BiesselsJurgen A. H. R. ClaassenHuub A. M. MiddelkoopMarion SmitsWiro J. NiessenJohn van SwietenWiesje M. van der FlierInez H. G. B. RamakersAad van der LugtPublished in: CoRR (2020)
Keyphrases
- machine learning
- early diagnosis
- disease diagnosis
- computer aided diagnosis
- prediction accuracy
- medical images
- deep learning
- magnetic resonance imaging
- low grade
- diagnostic tool
- magnetic resonance images
- computer aided
- medical doctors
- diagnostic process
- learning algorithm
- multiple sclerosis
- data mining
- medical imaging
- outbreak detection
- predictive modeling
- medical diagnosis
- computer vision
- model based diagnosis
- machine learning methods
- mr images
- clinically relevant
- text mining
- neural network
- cardiovascular disease
- decision trees
- support vector machine
- machine learning algorithms
- feature selection
- information extraction