Development, deployment, and feature interpretability of a three-class prediction model for pulmonary diseases
Abstract Purpose To develop a high-performance machine learning model for predicting and interpreting features of pulmonary diseases. Patients and methods This retrospective study analyzed clinical and imaging data from patients with non-small cell lung cancer (NSCLC), granulomatous inflammation, an...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-025-02020-7 |
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