Google Health, IBM Watson and others have been attempting to provide an automated or deep learning solution for healthcare data. We applaud these efforts and are glad that the sector is getting such attention from large conglomerates. Although each is wed to their proprietary technologies, certain milestones have been achieved in advancing the cause for automation in literature mining.
With over a decade of advanced deep sector experience research and development, Doctor Evidence has applied its vast database to combine with leading state-of-the-art natural language processing, machine learning and deep learning methodologies for dynamic and continuous annotating of real-world data sets. Regarding continuous surveillance, signal detection and automated indexing of the literature, DRE has a unique advantage for applying technologies to its vast domain knowledge and unprecedented learning set of data from over 30 million extracted data elements.