Change of Data-Driven Drug Design Trends Through Patent Analysis

Abstract

The pharmaceutical industry is one of the most research and development (R&D)-intensive industries. This industry has tried many strategies to overcome the limitations of a business model that had a high return and high risk. In recent years, the fourth industrial revolution has affected many industries, causing them to update their traditional production and business strategies to a “data science-based” approach. This data science methodology, based on the largely increased size of the data environment, has actively changed the pharmaceutical industry. Therefore, this study aimed to identify specific characteristics of data science innovation in the pharmaceutical industry through the analysis of patent data from the triadic patent databases from the United States, Japan, and Europe.

Analysis of patent documents with utility mining: a case study of wind energy technology

“…However, the number of studies on the application of association rules to patent documents is minimal. Among these studies, Jun (2011a), Jun (2011b), Ju and Sohn (2015), Zhong et al (2016), Seo et al (2016), Han and Sohn (2016), Lee (2017), Choi et al (2018), Janlu et al (2018), Kim and Lee (2019) applied the association rules to patent data in their work.…”