Extraction and visualization of relation and characteristics for multiple laws regarding clinical research

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K18854
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: Okinawa International University
• Principal Investigator: Ohshiro Ayako 沖縄国際大学, 経済学部, 准教授 (70773399)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 臨床研究 / 法情報 / 言語処理

Outline of Final Research Achievements

The purpose of this research is the extraction and visualization of relationships and characteristics from multiple laws regarding clinical research in order to improve readability. For the target ministerial ordinances, laws, and guidelines, the following tasks were undertaken: Task1. Assessing the article-level similarity between each law using word matching. Task2. Extending the application of word matching to other laws and regulations. Task3. Propose a method by the combination of Pointwise Mutual Information and Word Pair Matching. Task4. Adapting the method from task 3 to analyze newspaper articles. Task5. Creating a visualization of clinical research-related laws and regulations using a co-occurrence network.
We demonstrated the possibility of visualizing the target law, evaluating the similarity between the target law and other laws, proposing a similarity evaluation method, and selecting a similarity evaluation method according to the characteristics of text data.

Free Research Field

知能情報工学

Academic Significance and Societal Importance of the Research Achievements

データの特徴に応じた言語処理手法の選択の可能性が示された. また大学等の研究教育機関や地域医療機関において臨床研究を初めて実施・計画または支援する医療者だけでなく患者・国民にとって、本報告が法理解の助けになれば幸いである.