Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yan-Qun Sun

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
BMC Medical Informatics and Decision Making|October 11, 2025
Predicting outcomes in pediatric patients with acute kidney injury: a retrospective single-center cohort study using machine learning modelsFeifei Shen, Ying Xu, Xusheng Jiang, et al.
World Journal of Pediatrics : WJP|May 18, 2026
Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluationDan Shi, Wei Gu, Xue-Jing Yang, et al.
Antimicrobial Resistance and Infection Control|December 2, 2025
Risk factors for healthcare-associated infection and colonization of Serratia marcescens in neonates: a systematic review and meta-analysisYa-Qian Hu, Sheng-Fan Xue, Rui-Zhe Yang, et al.
Italian Journal of Pediatrics|June 4, 2026
Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world dataXue-Jing Yang, Wei Gu, Hong-Jun Miao, et al.
The Lancet. Digital Health|November 24, 2022
Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysisYuan-Yuan Zhang, Yan-Qun Sun, Jin-Jin Chen, et al.
One Health (Amsterdam, Netherlands)|July 17, 2025
Projecting lyme disease risk in the United States: A machine learning approach integrating environmental, socioeconomic and vector factorsYan-Qun Sun, Xiao-Yan Zhu, Tian-Ci Fan, et al.
The Lancet Regional Health. Western Pacific|July 11, 2025
Combined effects of hydrological conditions and socioeconomic factors on the seasonal dynamics of severe fever with thrombocytopenia syndrome in China, 2011-2022: a modelling studyHong-Han Ge, Kun Liu, Fang-Yu Ding, et al.
Infectious Diseases of Poverty|July 7, 2022
Mapping the viruses belonging to the order Bunyavirales in ChinaAi-Ying Teng, Tian-Le Che, An-Ran Zhang, et al.
Infectious Diseases of Poverty|July 4, 2023
Comparative study on epidemiological and etiological characteristics of patients with acute diarrhea with febrile or non-febrile symptoms in ChinaTao Wang, Gang Wang, Chun-Xi Shan, et al.
Globalization and Health|August 17, 2023
Mapping global zoonotic niche and interregional transmission risk of monkeypox: a retrospective observational studyYan-Qun Sun, Jin-Jin Chen, Mei-Chen Liu, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
BMC Medical Informatics and Decision Making|October 11, 2025
Predicting outcomes in pediatric patients with acute kidney injury: a retrospective single-center cohort study using machine learning modelsFeifei Shen, Ying Xu, Xusheng Jiang, et al.
World Journal of Pediatrics : WJP|May 18, 2026
Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluationDan Shi, Wei Gu, Xue-Jing Yang, et al.
Antimicrobial Resistance and Infection Control|December 2, 2025
Risk factors for healthcare-associated infection and colonization of Serratia marcescens in neonates: a systematic review and meta-analysisYa-Qian Hu, Sheng-Fan Xue, Rui-Zhe Yang, et al.
Italian Journal of Pediatrics|June 4, 2026
Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world dataXue-Jing Yang, Wei Gu, Hong-Jun Miao, et al.
The Lancet. Digital Health|November 24, 2022
Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysisYuan-Yuan Zhang, Yan-Qun Sun, Jin-Jin Chen, et al.
One Health (Amsterdam, Netherlands)|July 17, 2025
Projecting lyme disease risk in the United States: A machine learning approach integrating environmental, socioeconomic and vector factorsYan-Qun Sun, Xiao-Yan Zhu, Tian-Ci Fan, et al.
The Lancet Regional Health. Western Pacific|July 11, 2025
Combined effects of hydrological conditions and socioeconomic factors on the seasonal dynamics of severe fever with thrombocytopenia syndrome in China, 2011-2022: a modelling studyHong-Han Ge, Kun Liu, Fang-Yu Ding, et al.
Infectious Diseases of Poverty|July 7, 2022
Mapping the viruses belonging to the order Bunyavirales in ChinaAi-Ying Teng, Tian-Le Che, An-Ran Zhang, et al.
Infectious Diseases of Poverty|July 4, 2023
Comparative study on epidemiological and etiological characteristics of patients with acute diarrhea with febrile or non-febrile symptoms in ChinaTao Wang, Gang Wang, Chun-Xi Shan, et al.
Globalization and Health|August 17, 2023
Mapping global zoonotic niche and interregional transmission risk of monkeypox: a retrospective observational studyYan-Qun Sun, Jin-Jin Chen, Mei-Chen Liu, et al.
Pageof 2