Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data.
Young Chul YounHye Ryoun KimHae Won ShinHae-Bong JeongSang-Won HanJung-Min PyunNayoung RyooYoung Ho ParkSangyun KimPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- machine learning algorithms
- data sets
- machine learning
- learning algorithm
- benchmark data sets
- training data
- prior knowledge
- machine learning methods
- decision trees
- learning models
- machine learning systems
- historical data
- prediction accuracy
- data mining techniques
- medical images
- multi class
- feature vectors
- data analysis
- data structure