Early Identification of Patentable Medical Innovations

There is considerable interest in developing methods for early detection of medical advances which are likely to lead to effective treatments. Because the number of potentially significant discoveries published each year is very large, practically-useful detection must be accomplished using computational models. This paper considers a key component of this detection process - early identification of patentable innovations - and presents a novel machine learning-based prediction model to perform the identification. Experiments demonstrate the efficacy of the proposed approach.