Risk Prediction in Patients With Metabolic Dysfunction–Associated Steatohepatitis Using Natural Language Processing
Background and Aims: Metabolic dysfunction–associated steatohepatitis (MASH) is a highly heterogenous condition and a leading cause of end-stage liver disease. Understanding disease progression in real-world settings remains a major unmet need. We sought to define a real-world MASH cohort using natu...
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| Main Authors: | Jordan Guillot, Christopher Y.K. Williams, Shadera Azzam, Balu Bhasuran, Gail Fernandes, Boshu Ru, Joe Yang, Xiao Zhang, R. Ravi Shankar, Jin Ge, Vivek A. Rudrapatna |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Gastro Hep Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772572325000883 |
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