This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1887) Artificial Intelligence (2082) Machine Learning (2045) New Methods (1126) Longitudinal and Cohort Studies in Public Health (405) Prevention and Health Promotion (1333)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46891, first published .
Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Authors of this article:

Guoqing Huang1, 2 Author Orcid Image ;   Qiankai Jin1, 2 Author Orcid Image ;   Yushan Mao1 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Journals

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  10. 邹 慧. Research Progress in the Application of Data Mining Techniques for Metabolic-Associated Fatty Liver Disease Risk Prediction. Nursing Science 2025;14(06):956 View
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  13. Jin Y, Su T, Fan Y, Zheng Y, Tian C, Ouyang Z, Lv F. Risk factors of breast cancer patients developing multiple primary cancers: a retrospective study and establishing/testing of machine learning models. BMC Medical Informatics and Decision Making 2025;25(1) View
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  16. Zeng S, Cao Z, Xu H, Yang C, Wang K, Yang Y, Qiu X, Xiao Y, Zhang X, Fu Q, Wang W. An interpretable machine learning model integrating computed tomography radiomics and clinical features for predicting the urosepsis after percutaneous nephrolithotomy. BioMedical Engineering OnLine 2025;24(1) View
  17. Chen S, Xu D, Hu D, Hu P, Huang T. Predicting Metabolic Dysfunction-Associated Fatty Liver Disease Phenotypes among Adults: A Two-Stage Contrastive Learning Method (Preprint). JMIR Medical Informatics 2025 View
  18. Zeng Y, Yang C, Yang X, Zhang X, Xia G. Predicting the risk of metabolic-associated fatty liver disease in the elderly population in China: construction and evaluation of interpretable machine learning models. Frontiers in Medicine 2025;12 View

Conference Proceedings

  1. Wang Y, Wan Y, Chen Q, Lei X, Wang Y, Sun G, Li X, Hu H. Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference. An Improved Infectious Disease Risk Prediction Model Based on Attention Mechanism View