An efficient machine learning approach for diagnosis of paraquat-poisoned patients.
Lufeng HuGuangliang HongJianshe MaXianqin WangHuiling ChenPublished in: Comput. Biol. Medicine (2015)
Keyphrases
- machine learning
- clinically relevant
- critical care
- medical doctors
- diagnostic tests
- neurodegenerative diseases
- spect images
- heart disease
- machine learning methods
- learning algorithm
- medical practitioners
- decision trees
- clinical diagnosis
- differential diagnosis
- data mining
- knowledge acquisition
- diagnostic tool
- early diagnosis
- cardiovascular disease
- medical knowledge
- primary care
- pattern recognition
- computer science
- medical treatment
- fault detection
- model based diagnosis
- clinical data
- medical diagnosis
- fault diagnosis
- medical staff
- therapy planning
- obstructive sleep apnea
- active learning
- data analysis
- knowledge representation
- medical records
- patient data
- inductive logic programming
- statistical methods
- machine learning algorithms
- information extraction
- support vector machine
- knowledge discovery