Development and Validation of a Machine Learning-based Model for Prediction of Liver Fibrosis and MASH
Utilizing machine learning can assist in diagnosing MASH and significant fibrosis based on clinical epidemiological information with good diagnostic performance.
Authors
- Maojie Liu
- Hongbing Shen (ORCID: https://orcid.org/0000-0002-2581-5906)
- X. Ge (ORCID: https://orcid.org/0009-0007-6772-8804)
- Juan Yang (ORCID: https://orcid.org/0000-0002-1670-0605)
- Yao Yao (ORCID: https://orcid.org/0000-0002-0879-4269)
- Yuqian Yan (ORCID: https://orcid.org/0000-0003-1904-5906)
- Xiaoling Puyang
- Ci Song (ORCID: https://orcid.org/0000-0001-6483-9372)
- Lu Zhang (ORCID: https://orcid.org/0000-0002-0279-4751)
- Jing Lü (ORCID: https://orcid.org/0000-0001-8938-006X)
- Longfeng Jiang (ORCID: https://orcid.org/0000-0001-8058-6838)
Institutions
- Infectious Disease Consultants (US)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Clinical Gastroenterology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1097/mcg.0000000000002166
- Citations
- 3
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06