Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy.
Wesley T. KerrAndrew Y. ChoAriana E. AndersonPamela K. DouglasEdward P. LauEric S. HwangKaavya R. RamanAaron TreflerMark S. CohenStefan T. NguyenNavya M. ReddyDaniel H. S. SilvermanPublished in: PRNI (2013)
Keyphrases
- machine learning
- medical diagnostic
- clinically relevant
- disease diagnosis
- clinical diagnosis
- heart disease
- traditional chinese medicine
- medical diagnosis
- cardiovascular disease
- pattern recognition
- medical doctors
- decision trees
- medical domain
- differential diagnosis
- critical care
- medical decision making
- machine learning algorithms
- diagnostic process
- medical knowledge
- clinical decision support systems
- information retrieval
- bladder cancer
- model based diagnosis
- machine learning methods
- information extraction
- brain tumours
- learning algorithm
- primary care
- feature selection
- reinforcement learning
- diagnostic tests
- natural language processing
- text mining
- decision support system
- data mining
- eeg signals
- clinical practice
- clinical trials
- knowledge discovery
- therapy planning
- fault diagnosis
- early diagnosis
- clinical data
- healthy subjects
- medical practitioners
- obstructive sleep apnea