Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease.
Hanrui ZhangKaiwen DengHongyang LiRoger L. AlbinYuanfang GuanPublished in: Patterns (2020)
Keyphrases
- deep learning
- unsupervised learning
- machine learning
- unsupervised feature learning
- candidate genes
- deep architectures
- disease progression
- mental models
- weakly supervised
- breast cancer
- gene sets
- restricted boltzmann machine
- ovarian cancer
- biomarker discovery
- natural language processing
- pairwise
- patient groups
- image segmentation
- decision trees