Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.
Min Ju KangSang Yun KimDuk L. NaByeong C. KimDong Won YangEun-Joo KimHae Ri NaHyun Jeong HanJae-Hong LeeJong Hun KimKee Hyung ParkKyung Won ParkSeol-Heui HanSeong Yoon KimSoo Jin YoonBora YoonSang Won SeoSo Young MoonYoung-Soon YangYong S. ShimMin Jae BaekJee Hyang JeongSeong Hye ChoiYoung Chul YounPublished in: BMC Medical Informatics Decis. Mak. (2019)
Keyphrases
- test data
- deep learning
- cognitive impairment
- training set
- training data
- test set
- test cases
- unsupervised feature learning
- unsupervised learning
- machine learning
- older adults
- data sets
- training samples
- mental models
- training and test data
- weakly supervised
- restricted boltzmann machine
- search based testing
- feature extraction
- image processing
- e learning
- feature selection