Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables.
Shuai JinDan QinBaosheng LiangLi-Chuan ZhangXiao-Xia WeiYu-Jie WangBing ZhuangTong ZhangZhen-Peng YangYi-Wei CaoSan-Li JinPing YangBo JiangBen-Qiang RaoHan-Ping ShiQian LuPublished in: Int. J. Medical Informatics (2022)
Keyphrases
- machine learning
- machine learning methods
- deep learning
- machine learning algorithms
- pattern recognition
- supervised learning
- early detection
- lung cancer
- causal relationships
- variable selection
- learning algorithm
- independent variables
- machine learning approaches
- learning tasks
- breast cancer
- learning systems
- unsupervised learning
- data sets
- knowledge acquisition
- computational intelligence
- information extraction
- active learning
- artificial intelligence
- random variables
- text classification
- medical images
- statistical methods
- inductive learning
- support vector machine
- gene selection
- knowledge representation
- computer science
- data mining