Guilan KongPHD

Associate Research Professor, National Institute of Health Data Science

Contact Info

No.38 Xueyuan Rd.; Haidian District; Beijing; China. 100091

Education & Postdoctoral Training

2010 Ph.D. in Decision and System Sciences, The University of Manchester, U.K.

Jul. 2010- Jun. 2011  Postdoctoral Research Associate, The University of Manchester, Manchester, U.K.

Academic Appointment & Hospital Appointment

2015- National Natural Science Foundation of China Grant Reviewer

2020- Zhejiang Provincial Department of Finance, China Grant Reviewer

Major Committee Assignments

2020- IDIH (International Digital Health Cooperation for Preventive, Integrated, Independent and Inclusive Living), co-funded by the European Commission under the Horizon 2020 research and innovation programme

Expert Group: Independent and connected living Expert Panel Member

2018- Smart Health and Senior Care Committee Associated to China Association of Gerontology and Geriatrics Vice Chair

2020- Committee of Application and Management of Big Data in Health Associated to Chinese Hospital Association Standing Committee Member

2020- Committee of Informationization of Health Care Associated to Chinese Association of Geriatric Research Standing Committee Member

Editorial Board

2020- Editorial Board Health Data Science

Major Awards and Honors

2016 Outstanding Paper Award, Chinese Hospital Quality Management

2010 Chinese Government Award for Outstanding Self-Financed Students Abroad

2006 Second Prize for Scientific and Technological Progress in PLA, China

2001 Third Prize for Scientific and Technological Progress in PLA, China

International Presentations

1.Guilan Kong*. Building a learning health system in China. The Post-Pandemic Digital Health Landscape across UK & China. Virtual, 11-12 Jan. 2022.

2.Jiayu Wang, Jian Zhang, Fengyu Wen, Guilan Kong*. Identifying risk factors for cognitive impairment in diabetes by combining machine learning and logistic regression methods. AMIA 2022 Annual Symposium. Washington D.C., USA, 5-9 Nov. 2022.

3.Zhilong Zhang, Shuai Jin, Huiying Zhao, Guilan Kong*. Identifying patient subgroups with different mortality risks in ICU based on dynamically acquired clinical data. AMIA 2022 Annual Symposium. Washington D.C., USA, 5-9 Nov. 2022.

4.Yangfan Chai, Hongbo Lin, Yufan Pu, Guohui Ding, Huai-yu Wang, Chao Yang, Luxia Zhang, Guilan Kong*. A random survival forest-based fracture risk prediction model for CKD patients with anemia. IEEE International Conference on Biomedical and Health Informatics 2022. Ioannina, Greece, 27-30 Sep. 2022.

5.Guilan Kong*, Yangfan Chai, Huai-Yu Wang, Pengfei Li, Qing Li, Luxia Zhang. Combining domain knowledge and data-driven prediction models for clinical decision support. IEEE International Conference on Biomedical and Health Informatics 2021. Virtual, 27-30 Jul. 2021.

6.Guilan Kong, Yangfan Chai, Hong Chu, Pengfei Li, Qing Li, Luxia Zhang*. Building an learning health system in China. IEEE International Conference on Biomedical and Health Informatics 2021. Virtual, 27-30 Jul. 2021.

7.Guilan Kong*. State of the art of digital health on AHA in China & China’s motivation to participate in Sino-European collaboration in digital health. The Sino-European Health Collaboration Week. Virtual, 29 Nov. 2021.

8.Guilan Kong*. Mobilizing computable biomedical knowledge (CBK) in China. MCBK 2021 Annual Meeting. Virtual, 20-21 Jul. 2021.

9.Guilan Kong*, Yangfan Chai, Hong Chu, Bixia Gao, Guohui Ding, Qqing Li, Pengfei Li, Luxia Zhang*, Fusing domain knowledge and real-world evidence to support clinical decision making. INFORMS 2020 Annual Meeting. Virtual, 7-13 Nov. 2020.

10.Yu Lin, Jingyi Wu, Yonghua Hu, Guilan Kong*. Predicting ICU Readmission in Patients with Sepsis via Machine Learning Approaches. The 14th International FLINS Conference on Robotics and Artificial Intelligence. Cologne, Germany, 18-21 Aug. 2020.

11.Jingyi Wu, Ke Lin, Yu Lin, Yonghua Hu, Guilan Kong*. Predicting Length of ICU Stay via Random Forest. AMIA 2019 Annual Symposium. Washington D.C., USA, 15-21 Nov. 2019.

12.Ke Lin, Junqing Xie, Guilan Kong*. Predicting in-hospital mortality of patients with sepsis in the ICU via machine learning models. AMIA 2018 Annual Symposium. San Francisco, California, USA, 3-7 Nov. 2018.

Narrative Report of Research Contributions

Dr Guilan Kong is an Associate Research Professor in Health Data Science and leader of intelligent medical decision support group at the National Institute of Health Data Science, Peking University. Her research focuses on intelligent decision making in medicine, and she aims to provide explainable, real time and intelligent decision support to medical staff. Guilan has been doing research about knowledge and data-driven intelligent decision support methodologies and applications in health. Her current research field includes big data analytics in health, clinical decision support systems, multiple-criteria medial quality assessment and learning health systems. Guilan and her research team have developed some computerized tools for intelligent clinical decision support, including the prehospital trauma severity assessment tool and the software for cross-modal retrieval of similar clinical cases.

BIBLIOGRAPHY  (Full Paper List)

1.Yifan Gu#, Xuebing Yang#, Lei Tian, Hongyu Yang, Jicheng Lv, Chao Yang, Jinwei Wang, Jianing Xi, Guilan Kong*, Wensheng Zhang*. Structure-aware siamese graph neural networks for encounter-level patient similarity learning. Journal of Biomedical Informatics. 2022, 127: 104027.

2.Wenwen Liu, Chao Yang, Lili Liu, Guilan Kong*, Luxia Zhang. Bidirectional associations of vision loss, hearing loss, and dual sensory loss with depressive symptoms among the middle-aged and older adults in China. Journal of Affective Disorders. 2022, 301: 225-232.

3.Guilan Kong*, Dong-Ling Xu, Jian-Bo Yang, Tianbing Wang, Baoguo Jiang*. Evidential reasoning rule-based decision support system for predicting in-hospital death and ICU admission of trauma patients. IEEE Transactions on Systems, Man and Cybernetics: Systems. 2021, 51(11): 7131-7142.

4.Jingyi Wu, Yu Lin, Pengfei Li, Yonghua Hu, Luxia Zhang, Guilan Kong*. Predicting prolonged length of ICU stay through machine learning. Diagnostics. 2021, 11(12): 2242.

5.Huai-Yu Wang, Guo-Hui Ding, Hongbo Lin, Xiaoyu Sun, Chao Yang, Suyuan Peng, Jinwei Wang, Jian Du, Yu Zhao, Zhengyue Chen, Beiyan Bao*, Guilan Kong*, Luxia Zhang. Influence of doctors’ perception on the diagnostic status of chronic kidney disease – results from 976,409 individuals with electronic health records in china. Clinical Kidney Journal. 2021, 14(11): 2428–2436.

6.Guilan Kong#, Jingyi Wu#, Hong Chu, Chao Yang, Yu Lin, Ke Lin, Ying Shi, Haibo Wang, Luxia Zhang*, on behalf of China Kidney Disease Network Working Group. Predicting prolonged length of hospital stay for peritoneal dialysis patients: a stacked generalization method. JMIR Medical Informatics. 2021, 9(5): e17886.

7.Huai-Yu Wang, Xiaozhen Lv, Jian Du, Guilan Kong, Luxia Zhang*, Age- and gender-specific prevalence of frailty and its outcomes in the longevous population: the Chinese longitudinal healthy longevity study. 

8.Rui Chen, Chao Yang, Pengfei Li, Jingwei Wang, Ze Liang, Wanzhou Wang, Yueyao Wang, Chenyu Liang, Ruogu Meng, Huai-Yu Wang, Suyuan Peng, Xiaoyu Sun, Zaiming Su, Guilan Kong, Yang Wang, and Luxia Zhang*. Long-Term Exposure to Ambient PM2.5, Sunlight, and Obesity: A Nationwide Study in China.