Seminar on Development of Big Data-Based Source Technologies for the Preventive Treatment of Korean Medicine
Korea Institute of Oriental Medicine (KIOM) held a seminar under the theme of ‘the Development of Big Data-Based Source Technologies for the Preventive Treatment of Korean Medicine’ on Nov. 30.
This event was organized to provide information on ‘the Development of Big Data-Based Source Technologies for the Preventive Treatment of Korean Medicine,’ a research project that has been implemented by KIOM’s Mibyeong Research Center, and to gather expert opinions.
The Mibyeong Research Center has conducted the 9 year-long project since this year with the goal of developing a noninfective chronic diseases forecast model based on Korean medicine-related small groups by applying machine learning-based analysis technologies to health information, living environments, and genome data.
This seminar was designed to introduce the Mibyeong Research Center’s research plans and strategies for the next nine years and to help craft genome-epidemiology research strategies in Korean medicine for the new era of the 4th Industrial Revolution. It was attended by Korean professionals in big data and genome research to present research strategies and latest trends such as cohort and genome research in health care and Korean medicine.
In the first session on ‘the Establishment of Genome Epidemiology Infrastructure in Korean Medicine’, Dr. Lee Si-woo, the Director of the Mibyeong Research Center at KIOM gave a presentation on ‘the Development of Big Data-Based Source Technologies for the Preventive Treatment of Korean Medicine,’ Prof. Ko Gwang-pilr at Gachon University College of Medicine delivered a presentation on ‘Epidemiological Data on Establishment/Distribution Led by Public Agencies,’ and Prof. Ko Ho-yeon at Semyung University College of Korean Medicine spoke on ‘Preliminary Research and Strategies Regarding the Survey on the Health of Korean Medicine Doctors.’
In the second session, under the theme of ‘Big Data-Based Development of Health Forecast Technologies’, presentations were made by Prof. Park Jong-hwa at Ulsan National Institute of Science and Technology on ‘Genome Project for 10,000 People in Ulsan;’ by Dr. Jin Heui-jung, a Chief Researcher of KIOM on ‘Korean Medicine-Genome Epidemiology Data Analysis Strategies’; by Prof. Choi Jung-gyun at Korea Advanced Institute of Science and Technology on ‘Functional Modeling of Noncoding Risk Variants based on Convolutional Neural Networks’; and by Prof. Kim Chang-eob at Gachon University College of Korean Medicine on ‘Multi-Dimensional Data Search for the Identification of Predisposing Factors in Korean Medicine’.
In the last session, under the theme of ‘Development of Technologies for the Use of Personal Health Records,’ Song Seung-jae, CEO and President of LifeSemantics presented on ‘A Proposal for the Establishment of PHR-EMR-Linked Big Data’, followed by Dr. Jang Hyun-cheol, Chief Researcher of KIOM on ‘Ways to Use Personal Health Records for Clinical Studies,’ and Prof. Chae Yoon-byung at Kyung Hee University College of Korean Medicine on ‘Personal Health Records for Mind-Body Interaction Research.’