Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports.
Sonali NandishPrathibha R JNandini N MPublished in: JCO clinical cancer informatics (2022)
Natural language processing has huge potential to automate the extraction of clinical features from breast lesions. The proposed multilevel and multiclass classification approach is used to classify 13 different types of breast lesions with 20 different labels into five classes to decide the type of treatment that should be given to patients by a physician or oncologist.
Keyphrases
- deep learning
- machine learning
- end stage renal disease
- autism spectrum disorder
- ejection fraction
- chronic kidney disease
- newly diagnosed
- emergency department
- primary care
- prognostic factors
- peritoneal dialysis
- high throughput
- patient reported outcomes
- smoking cessation
- risk assessment
- climate change
- electronic health record