Education & Postdoctoral Training & Academic Appointment
Nov 2019-, Assistant Professor, National Institute of Health Data Science, Peking University
Jul 2019-Oct 2019, Associate Research Professor, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College
Jan 2014-Jun 2019, Assistant Research Professor, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College
Aug 2010-Dec 2013, Research Assistant, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College
Sep 2013-Jun 2017, PhD, Information Management, Nanjing University
Sep 2008-Jun 2010, M.S., Health Information Management, Huazhong University of Science and Technology
Sep 2004-Jun 2008, B.S., Medical Informatics, Binzhou Medical University
Major Committee Assignments
Standing Committee Member & Secretary-General, Hospital Library and Information Specialized Committee, Chinese Hospital Association
Member, Medical Informatics Branch of the Chinese Medical Association
Member, Bioinformatics Branch of the Chinese Preventive Medicine Association
Member, Scientometrics and Informatrics Branch of the Chinese Association of Science of Science and S&T Policy Research
Member, Health Data Science Specialized Committee, Chinese Hospital Association
Editorial Board
Health Data Science
Major Awards and Honors
Young Information Scientist Award, China Society for Scientific and Technical Information
Young Elite Scientists, China Association for Science and Technology
Narrative Report of Research Contributions
The current research interests of our team focus on scientific big data analytics and medical knowledge graph. One effort is to construct causal knowledge graphs by integrating biomedical literature, biomedical ontologies, clinical trial reports and clinical practice guidelines. Another effort of our team is to measure and represent the uncertainty level of biomedical knowledge. We have proposed a framework for Biomedical Knowledge Computing by combining the Subject-Predicate-Object (SPO) triples with the knowledge context, especially the contradictions and disagreement in scientific claims. We aim to improve the efficacy of knowledge-driven decision support, such as causal modeling in observational health research, argument mining in clinical decision-making as well as research priority setting in health research policy-making, etc. We are funded by the National Key R&D Program for Young Scientists and the National Natural Science Foundation of China.
Preprints:
1.Wang Shuang, Du Jian*. A comment-driven evidence appraisal approach for decision-making when only uncertain evidence available. arXiv; 2021. https://europepmc.org/article/PPR/PPR454101
2.Du, Jian and Wu, Jingyi and Bai, Yongmei and Sun, Huage and Chen, Yuming and Wang, Yaogang and Zhang, Luxia, Evaluation of Artificial Intelligence Clinical Research Based on the NICE Evidence Standards Framework for Digital Health. Available at SSRN: https://ssrn.com/abstract=4016525
or http://dx.doi.org/10.2139/ssrn.4016525
Conference papers:
2.Du Jian. A machine learning approach for detecting biomedical transformative research by citation context analysis. The 7th IEEE International Conference on Healthcare Informatics (ICHI 2019), June 2019. https://www.researchgate.net/publication/339712134_A_machine_learning_approach_for_detecting_biomedical_transformative_research_by_citation_context_analysis
3.Bai, Yongmei; Du, Jian*. Measuring the impact of clinical data in terms of data citations by scientific publications. Proceeding of the 18th International Conference on Scientometrics & Informetrics (ISSI2021), Leuven, Belgium, July 12-15, 2021.
4.Bai, Yongmei; Sun, Huage; Du, Jian*. A PICO-based Knowledge Graph for Representing Clinical Evidence. The 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) at the ACM/IEEE Joint Conference on Digital Libraries 2021 (JCDL2021), University of Illinois at Urbana-Champaign, Sep 27-30, 2021.
