The Journal for Information Professionals
Asia Pacific Journal of Information Systems (APJIS), a Scopus and ABDC indexed journal, is a
flagship journal of the information systems (IS) field in the Asia Pacific region.
ISSN 2288-5404 (Print) / ISSN 2288-6818 (Online)
Editor : Seung Hyun Kim
Share this page
Current Issue
| Date | December 2019 |
|---|---|
| Vol. No. | Vol. 29 No. 4 |
| DOI | https://doi.org/10.14329/apjis.2019.29.4.817 |
| Page | 817~837 |
| Title | Detecting Knowledge structures in Artificial Intelligence and Medical Healthcare with text mining |
| Author | Hyun-A Lim, Pham Duong Thuy Vy, Jaewon Choi |
| Keyword | Smart Medicine, Medical Information, Healthcare, Topic Modeling, Research Trend Analysis |
| Abstract | The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic. |
Home l Site Map l Abstracting/Indexing l FAQ l Publisher l Contact Us l Admin Login
© 2013 The Korean Society of Management Information Systems. All rights reserved.