Research on theme evolution and technological knowledge innovation management of domestic innovative medical devices based on LDA-HMM model

Abstract: Purpose/Significance Medical device products are the products of clinical scientific research results transformation and knowledge innovation management. As one of the main competition tracks in the science and technology industry, the strength of medical science and technology is an important aspect to measure the country’s overall scientific research ability and environment. Knowledge innovation drives industrial development, product structure reflects the level of knowledge management, and knowledge management involving frontier science and technology is closely related to national strategic planning. From the perspective of product theme mining and evolution sharing, it is of great strategic significance for enterprises and countries to look into the current situation of domain technical knowledge management. Method/Process A comprehensive approach to technical topic identification and analysis is adopted in this study. Through the application of LDA algorithm in the field of machine learning, potential technical topics are identified and clustered from the medical device product data, and then the distribution characteristics and change rules of technical topics in different periods are analyzed. The future technology trend is predicted quantitatively by using hidden Markov model. Using this combination method, the topic distribution, evolution law and future trend of innovative medical devices from 2014 to 2023 are deeply studied. Result/Conclusion 38 technical topics were identified and sorted out using domestic approved innovative medical device product data. The results show the deep development of genetic testing and implanted electrical stimulator technology. Disease diagnosis, surgical navigation and biological mesh are the focus of future technological innovation and product competition. However, from the perspective of quantitative characteristics, China’s research and development strength is relatively weak, and the innovation ability is in a weak position, which needs to attract the attention of enterprise technology research and development institutions and the government.