Quantitative EEG Markers of Entropy and Auto Mutual Information in Relation to MMSE Scores of Probable Alzheimer's Disease Patients.
Carmina Reyes-CoronelHeinrich GarnMarkus WaserManfred DeistlerThomas BenkePeter Dal-BiancoGerhard RansmayrStephan SeilerDieter GrosseggerReinhold SchmidtPublished in: Entropy (2017)
Keyphrases
- mutual information
- early diagnosis
- information theoretic
- multiple sclerosis
- patient groups
- medical doctors
- healthy subjects
- image registration
- computer aided
- cardiovascular disease
- computer aided diagnosis
- disease progression
- information theory
- chronic obstructive pulmonary disease
- spinal cord injury
- diagnostic tool
- feature selection
- emergency department
- medical image registration
- similarity measure
- clinical studies
- conditional entropy
- amyotrophic lateral sclerosis
- information gain
- brain computer interface
- signal processing
- clinically relevant
- shannon entropy
- obstructive sleep apnea
- diabetic patients
- medical practice
- temporal lobe epilepsy
- liver disease
- clinical trials
- cancer patients
- single trial
- caudate nucleus
- medical practitioners
- kullback leibler divergence
- normalized mutual information
- chronic disease
- clinical data
- eeg signals
- mr images
- medical images
- image analysis
- breast cancer patients
- epileptic seizures
- diabetes mellitus
- disease outbreaks
- medical experts
- event related