머신러닝 기반 헬스케어 분야 특허의 핵심 기술 분석 연구 = Machine Learning-Based Analysis of Core Technologies in Healthcare: Focus on Patent Information

다국어 초록 (Multilingual Abstract)

This study presents a methodology for identifying technology convergence phenomena of the healthcare sector, which is in thespotlight as a convergence industry. We analyzed 16,884 registered patents over the past five years from 2018 to 2022 in theUnited States and Europe, which are advanced countries in the healthcare sector. Based on these patent data, a prediction model was established after extracting major variables through network, principal component, and clustering analyses. The performanceevaluations of the predictive model were conducted through the machine learning algorithm, which displayed high accuracy in allfive techniques. This study derived 41 key technologies, including data processing (G06F), computing device (G06N), image dataprocessing (G06T), medical information (G16H), digital transmission (H04L), wireless (H04W), diagnosis and surgery (A61B), or medication and treatments (A61K, A61P). The results can be used as fundamental data when domestic healthcare companiesestablish patent and technology commercialization strategies.