HU Fan



Tel:+86- 021-63846590(414)

Research Direction:Chronic disease management bigdata of medical and machine learning


Hu Fan PhD in Management (2012), teaching and research in department of Community Health and Medical Behavior since 2020, main subjects including Preventive Medicine and Public Health, Clinical Statistical Analysis, R Language Data Analysis, participated in the development of several textbooks as an editorial board member based on previous teaching experience. Guiding students to participate in various innovation and entrepreneurship projects and discipline competition projects, students won the third prize of shanghai mathematical modeling and second prize of MCM/ICM for three consecutive years, also serves as an expert in judging the national graduate student mathematical modeling competition, joint training of several graduate and undergraduate students from 2017-2022, one of the undergraduates won the National Outstanding Graduate Thesis Award in 2021, also published academic papers in several core journals.

Hu Fan research focuses on management of type 2 diabetes, including mathematical modelling of type 2 diabetes complications (Diabetic Retinopathy, Diabetic Nephropathy, Stroke), Build a large cohort study database of type 2 diabetes in six communities in shanghai from 2016 to 2019, also

research on prevention of chronic diseases and all-cause mortality in the elderly and the correlation between environmental pollution source exposure factors and chronic diseases, etc.

Published twenty academic papers as the first author or corresponding author from 2020 to 2021, IF>50. Presided over three national and provincial scientific research projects, main subjects including Stroke machine learning model research, Study on clinical prediction model of fatty liver in adolescents, Cognitive function and air pollution exposure factors, and won the title of Young “Xinglin” Scholar in 2020.


  1. Shi R, Wu B, Niu Z, Sun H, Hu F*. Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease. Diabetes Metab Syndr Obes. 2020;13:5025-5036

  2. Wu, B., Niu, B. Z., Hu, F*. (2021). Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model. 45(4), 526–538.

  3. Zhang, Y., Shi, R., Yu, L., Hu F*.et al. Establishment of a Risk Prediction Model for Non-alcoholic Fatty Liver Disease in Type 2 Diabetes. Diabetes Ther 11, 2057–2073 (2020).

  4. Shi R, Zhang T, Sun H and Hu F* (2020) Establishment of Clinical Prediction Model Based on the Study of Risk Factors of Stroke in Patients With Type 2 Diabetes Mellitus. Front. Endocrinol. 11:559.

  5. Shi R, Niu Z, Wu B, Zhang T, Cai D, Sun H, Hu Y, Mo R, Hu F*. Nomogram for the Risk of Diabetic Nephropathy or Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus Based on Questionnaire and Biochemical Indicators: A Cross-Sectional Study. Diabetes Metab Syndr Obes. 2020;13:1215-1229

  6. Chen H, Long R, Hu T, Hu F*, Cai Y*., et al. A model to predict adherence to antiretroviral therapy among people living with HIV Sexually Transmitted Infections Published Online First: 06 December 2021.

  7. Hu F#, Gong R#, Chen Y, Zhang J, Hu T, Chen Y, Zhang K, Shang M, Cai Y. Prediction Model for COVID-19 Vaccination Intention among the Mobile Population in China: Validation and Stability. Vaccines. 2021; 9(11):1221.

  8. Hu F*, Zhang T. Study on Risk Factors of Diabetic Nephropathy in Obese Patients with Type 2 Diabetes Mellitus. Int J Gen Med. 2020;13:351-360

  9. Dong Y, Liu S, Xia D, Xu C, Yu X, Chen H, Wang R, Liu Y, Dong J, Hu F*, Cai Y*, Wang Y*. Prediction Model for the Risk of HIV Infection among MSM in China: Validation and Stability. International Journal of Environmental Research and Public Health. 2022; 19(2):1010.

  10. Wang R#, Chen Y#, Hu F#, Wang Z, Cao B, Xu C, Yu X, Chang R, Wang H, Chen H, Liu Y, Liu S, Hu T, Chen Y, Zhang K, Zou H, Cai Y. Psychometric Properties of Interpersonal Needs Questionnaire-15 for Predicting Suicidal Ideation among Migrant Industrial Workers in China. International Journal of Environmental Research and Public Health. 2021; 18(14):7583.

  11. Shi R, Niu Z, Wu B, Hu F*. Study on the Risk Factors for Hyperuricaemia and Related Vascular Complications in Patients with Type 2 Diabetes Mellitus. Risk Manag Healthc Policy. 2020;13:1661-1675

  12. Mo R, Shi R, Hu Y, Hu F*. Nomogram-Based Prediction of the Risk of Diabetic Retinopathy: A Retrospective Study. J Diabetes Res. 2020 Jun 7;2020:7261047.

  13. Hu Y, Shi R, Mo R, Hu F*. Nomogram for the prediction of diabetic nephropathy risk among patients with type 2 diabetes mellitus based on a questionnaire and biochemical indicators: a retrospective study. Aging. 2020 Jun 2;12(11):10317-10336.