Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.
Yujia BaoZhengyi DengYan WangHeeyoon KimVictor Diego ArmengolFrancisco AcevedoNofal OuardaouiCathy WangGiovanni ParmigianiRegina BarzilayDanielle BraunKevin S. HughesPublished in: CoRR (2019)
Keyphrases
- machine learning
- natural language processing
- medical literature
- biomedical literature
- text mining
- gene selection
- information extraction
- gene expression profiles
- microarray data
- gene expression
- computational biology
- gene expression data
- natural language
- knowledge representation
- wordnet
- medical information
- microarray
- named entities
- text documents
- free text
- text classification
- journal articles
- knowledge discovery
- feature selection
- machine learning methods
- knowledge acquisition
- data analysis
- semi structured
- document clustering
- pattern matching
- biological data