Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease.
Aeron M. SmallDaniel H. KissYevgeny ZlatsinDavid L. BirtwellHeather WilliamsMarie A. GuerratyYuchi HanSaif AnwaruddinJohn H. HolmesJulio A. ChirinosRobert L. WilenskyJay GiriDaniel J. RaderPublished in: J. Biomed. Informatics (2017)
Keyphrases
- coronary artery disease
- cardiovascular disease
- clinical setting
- text mining
- medical diagnosis
- clinical diagnosis
- myocardial perfusion
- risk factors
- coronary artery
- clinical practice
- data analysis
- machine learning
- clinical data
- diagnostic process
- automatic segmentation
- natural language processing
- association rules
- three dimensional
- image processing