A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.
Suparno DattaAnne SchraplauHarry Freitas Da CruzJan-Philipp SachsFrank MayerErwin P. BöttingerPublished in: BIBE (2019)
Keyphrases
- traditional chinese medicine
- obstructive sleep apnea
- fault diagnosis
- model based diagnosis
- medical diagnosis
- model based reasoning
- attention deficit hyperactivity disorder
- diagnostic reasoning
- learning algorithm
- data sets
- cad systems
- medical diagnostic
- decision trees
- machine learning
- multiple faults
- automatic diagnosis
- metabolic networks
- clinically relevant
- disease diagnosis
- computer aided
- expert systems
- heart disease
- causal reasoning
- fault detection
- text mining