Identifying Catheter-Associated Urinary Tract Infections with NLP and Machine-Learning Techniques While Embedded in Live Clinical Operations.
Valmeek KudesiaLeonard W. D'AvolioPublished in: AMIA (2012)
Keyphrases
- bladder cancer
- natural language processing
- machine learning
- clinical practice
- information extraction
- natural language
- statistical analysis
- real time
- free text
- embedded systems
- breast cancer
- question answering
- machine learning methods
- machine learning algorithms
- medical data
- machine learning approaches
- computational linguistics
- artificial intelligence
- wordnet
- magnetic resonance images
- clinical data
- language processing
- patient data
- clinical trials
- learning algorithm
- infectious disease
- textual entailment