Patent Value Promotion Based on the Technology Proximity Network: An Empirical Analysis of Artificial Intelligence for Healthcare

Abstract

Patent value plays an important role in the open innovation system, which can stimulate enthusiasm for research and development investment and innovation collaboration. High-value patents on artificial intelligence for healthcare can attract venture capital and encourage more enterprises to conduct research and development, thus driving the development of related industrial clusters for a smart medical system. This study focused on the mechanism of impacting the patent value from the perspective of technological proximity and made an empirical analysis by using patent data and multiple ordinary least squares regression models. The results showed that the technological proximity network extracted from patent data significantly affected patent value through the centrality measurements of patent nodes in the proximity network. Finally, the study also provided some implications for the formulation of research and development planning and technological innovation policies.

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“…Natural Language Processing (NLP) has many sub-domains and technologies. According to the data, as the key technology of artificial intelligence, China has become one of the countries with the largest number of patent applications for natural language processing [7] . The goal of NLP, it can be divided into Natural Language Understanding (NLU) and Natural Language Generation (NLG).…”