Structuring free text medical reports with forced taxonomies

摘要

Methods and systems for medical diagnosis by machine learning are disclosed. Imaging data obtained from different medical techniques can be used as a training set for a machine learning method, to allow diagnosis of medical conditions in a faster a more efficient manner. A three-dimensional convolutional neural network can be employed to interpret volumetric data available from multiple scans of a patient. The imaging data can be analyzed according to a forced taxonomy and any discrepancy in the labels of the taxonomy during data analysis by machine learning and human experts can be resolved based on the forced taxonomy.