Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke.
Chul-Ho KimVivienne ZhuJihad ObeidLeslie LenertPublished in: PloS one (2019)
Supervised ML based NLP algorithms are useful for automatic classification of brain MRI reports for identification of AIS patients. Single decision tree was the best classifier to identify brain MRI reports with AIS.
Keyphrases
- machine learning
- acute ischemic stroke
- deep learning
- contrast enhanced
- resting state
- magnetic resonance imaging
- artificial intelligence
- white matter
- big data
- diffusion weighted imaging
- end stage renal disease
- functional connectivity
- adverse drug
- newly diagnosed
- ejection fraction
- cerebral ischemia
- computed tomography
- autism spectrum disorder
- prognostic factors
- peritoneal dialysis
- emergency department
- decision making
- patient reported outcomes
- blood brain barrier
- bioinformatics analysis