Development of a nomogram for predicting the risk of carcinoma in chronic atrophic gastritis
Abstract Objective To construct a machine learning (ML) model to predict the progression of chronic atrophic gastritis (CAG) to gastric cancer (GC), given its precancerous significance. Methods Using medical records from the Affiliated Hospital of Qingdao University, common laboratory indicators wer...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02453-y |
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