A prospective multicenter validation study of a machine learning algorithm classifier on quantitative electroencephalogram for differentiating between dementia with Lewy bodies and Alzheimer's dementia.
Yukiko SuzukiMaki SuzukiKazue ShigenobuKazuhiro ShinosakiYasunori AokiHirokazu KikuchiToru BabaMamoru HashimotoToshihiko ArakiKristinn JohnsenManabu IkedaEtsuro MoriPublished in: PloS one (2022)
MC-004, the EEG-based machine learning algorithm, was able to discriminate between DLB and AD with fairly high accuracy. MC-004 is a promising biomarker for DLB, and has the potential to improve the detection of DLB in a diagnostic process.
Keyphrases
- machine learning
- mild cognitive impairment
- cognitive decline
- cognitive impairment
- artificial intelligence
- big data
- deep learning
- working memory
- parkinson disease
- functional connectivity
- resting state
- loop mediated isothermal amplification
- clinical trial
- cross sectional
- magnetic resonance imaging
- real time pcr
- magnetic resonance