Using Patient Medical Description to Expand the Feature Space in the Cyber-Physical Breast Cancer Identification System
摘要
This chapter proposes a method for generating features based on the description of the patient's state using natural language processing tools. As part of a group work in the field of breast cancer diagnosis, using the existing classifier based on the results of microwave radiometry, an approach to expand the feature space of the cyber-physical system by adding new features extracted as a result of linguistic analysis of anamnesis and the doctor's notes.