Using machine learning to predict hypertension from a clinical dataset.
Daniel LafrenièreFarhana H. ZulkernineDavid BarberKen MartinPublished in: SSCI (2016)
Keyphrases
- machine learning
- patient data
- clinical trials
- cardiovascular disease
- clinical data
- pattern recognition
- knowledge acquisition
- benchmark datasets
- machine learning approaches
- data analysis
- text classification
- rule interestingness measures
- explanation based learning
- data mining
- inductive learning
- learning tasks
- clinical practice
- model selection
- electronic medical record
- learning algorithm
- supervised learning
- decision support system
- information extraction
- computer science
- neural network
- clinical setting
- decision trees
- active learning
- knowledge representation
- machine learning methods
- natural language processing
- text mining
- risk factors
- support vector machine
- inductive logic programming
- feature selection
- medical domain
- medical experts
- blood pressure
- computer vision
- disease diagnosis
- medical diagnostic
- machine learning algorithms