Implementation of Machine Learning Algorithms to Screen for Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: An In-Depth Explanatory Analysis
An explainable XGBoost algorithm was demonstrated superior to FIB-4 and NFS for screening of AF in MASLD patients at the primary care setting. The algorithm also proved safe for use as clinicians can understand the predictions and flag FP classifications.
Authors
- Ziv Ben Ari
- Itamar Mishani (ORCID: https://orcid.org/0000-0002-2731-7441)
- Yana Davidov (ORCID: https://orcid.org/0000-0002-6524-1644)
- Shoham Dabbah (ORCID: https://orcid.org/0000-0002-3399-3788)
Institutions
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
- Carnegie Mellon University (US)
Publication Details
- Journal
- Digestion
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1159/000542241
- Citations
- 11
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.25