A Conceptual Model for Classification of Biomedicine Research. (October 2018)

• Record Type: Journal Article
• Authors: Hardiyati, R; Silalahi, M; Amelia, M; Nadhiroh, I M.; Rahmaida, R; Handayani, T
• Is Part Of: IOP conference series. Volume 197(2018)
• Publication Date: 2018-10
• Subjects: biomedicine -- conceptual model -- predictive model -- research downstream -- research publications; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/197/1/012006
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Many researches in biomedicine had been done in Indonesia, but only a few research results go downstream or applied in the industry. Mapping the potency of research downstream in biomedicine is carried out by classifying research outputs in biomedicine. One of the research outputs that can be used and easy to get is research publications. An effective and efficient classification of biomedicine research can be done using a computerized predictive model based on text mining of research publications. The objective of this study is to introduce a conceptual model in classification of biomedicine research based on research publications. The model of classification is defined based on findings in in-depth interview with researchers and industries about biomedicine discovery process, and a literature study. The relation of the classification model with the technology readiness level (TRL) model is analyzed by mapping. This conceptual model of classification of publication in biomedicine research to research downstream potency, developed as part of a research framework to build a computerized predictive model based on research publications.