Natural language processing, machine learning extract acute findings on reports

By determining how accurate a machine is relative to human reference standards, we can work on more sophisticated machine-learning methods (i.e., deep-learning convolutional neural networks) to create a narrow-field artificial intelligence system that can extract text features (e.g., acute findings) and tabulate the findings as part of a larger database that could be used for quality studies, outcomes analysis, resource utilization studies, and predictive analytics and modeling,