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

Hongnian Wang

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Plos One|September 6, 2024
Use machine learning models to identify and assess risk factors for coronary artery diseaseMingyang Zhang, Hongnian Wang, Ju Zhao
Digital Health|March 27, 2026
Identifying risk factors and predicting stroke using Bayesian networks: Evidence from NHANES 2011-2020Ju Zhao, Mingyang Zhang, Hongnian Wang
Journal of Biomedical Informatics|June 6, 2026
Clustering-based federated causal discovery for multicenter clinical data analysisMingyang Zhang, Hongnian Wang, Ju Zhao, et al.
BMC Medical Informatics and Decision Making|February 18, 2025
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical recordsHongnian Wang, Mingyang Zhang, Liyi Mai, et al.
International Journal of Medical Informatics|August 11, 2024
Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical recordsMingyang Zhang, Xiangzhou Zhang, Mingyang Dai, et al.
International Journal of Intelligent Systems|February 23, 2023
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced dataXiangzhou Zhang, Kang Liu, Borong Yuan, et al.
NPJ Digital Medicine|March 15, 2026
Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality predictionLijuan Wu, Liyi Mai, Hongnian Wang, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Plos One|September 6, 2024
Use machine learning models to identify and assess risk factors for coronary artery diseaseMingyang Zhang, Hongnian Wang, Ju Zhao
Digital Health|March 27, 2026
Identifying risk factors and predicting stroke using Bayesian networks: Evidence from NHANES 2011-2020Ju Zhao, Mingyang Zhang, Hongnian Wang
Journal of Biomedical Informatics|June 6, 2026
Clustering-based federated causal discovery for multicenter clinical data analysisMingyang Zhang, Hongnian Wang, Ju Zhao, et al.
BMC Medical Informatics and Decision Making|February 18, 2025
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical recordsHongnian Wang, Mingyang Zhang, Liyi Mai, et al.
International Journal of Medical Informatics|August 11, 2024
Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical recordsMingyang Zhang, Xiangzhou Zhang, Mingyang Dai, et al.
International Journal of Intelligent Systems|February 23, 2023
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced dataXiangzhou Zhang, Kang Liu, Borong Yuan, et al.
NPJ Digital Medicine|March 15, 2026
Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality predictionLijuan Wu, Liyi Mai, Hongnian Wang, et al.
Pageof 1