Heyoung Yang
Biographic Data
| ID | 5774249 |
|---|---|
| NAME | Heyoung Yang |
| GIVEN NAMES | Heyoung |
| FAMILY NAME | Yang |
| SIGNATURE | YANG H |
| AFFILIATIONS | Korea Institute of Science & Technology Information |
| ORCID | 0000-0002-7960-4389 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Retracted
With rapid technological progress, there is growing demand for efficient methods to evaluate and forecast future technologies. This study proposes a novel Delphi survey methodology using AI-generated expert agents powered by large language models (LLMs). These agents simulate interdisciplinary expert panels and engage in iterative discussions to assess the developmental stages of emerging technologies, with improved reliability through integratio…
Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Expanding Our Understanding of Covid-19 from Biomedical Literature Using Word Embedding
A better understanding of the clinical characteristics of coronavirus disease 2019 (COVID-19) is urgently required to address this health crisis. Numerous researchers and pharmaceutical companies are working on developing vaccines and treatments; however, a clear solution has yet to be found. The current study proposes the use of artificial intelligence methods to comprehend biomedical knowledge and infer the characteristics of COVID-19. A biomed…
Research Trend Visualization by MeSH Terms from PubMed
Motivation : PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been developed to help the users search for literature and acquire knowledge. However, these tools are insufficient to overcome the difficulties of the users…
Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Research Trend Visualization by MeSH Terms from PubMed
Motivation : PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been developed to help the users search for literature and acquire knowledge. However, these tools are insufficient to overcome the difficulties of the users…
Expanding Our Understanding of Covid-19 from Biomedical Literature Using Word Embedding
A better understanding of the clinical characteristics of coronavirus disease 2019 (COVID-19) is urgently required to address this health crisis. Numerous researchers and pharmaceutical companies are working on developing vaccines and treatments; however, a clear solution has yet to be found. The current study proposes the use of artificial intelligence methods to comprehend biomedical knowledge and infer the characteristics of COVID-19. A biomed…
Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Retracted
With rapid technological progress, there is growing demand for efficient methods to evaluate and forecast future technologies. This study proposes a novel Delphi survey methodology using AI-generated expert agents powered by large language models (LLMs). These agents simulate interdisciplinary expert panels and engage in iterative discussions to assess the developmental stages of emerging technologies, with improved reliability through integratio…
Artificial Intelligence (3 works) · Computer Science (3 works) · Biomedical Text Mining and Ontologies (2 works) · Data science (2 works) · 2019-20 coronavirus outbreak (1 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Bioinformatics and Genomic Networks (1 works) · Cluster analysis (1 works) · Cognitive Science and Mapping (1 works)