Segmentation of patients with small cell lung cancer into responders and non-responders using the optimal cross-validation technique
Abstract Background The timing of treating cancer patients is an essential factor in the efficacy of treatment. So, patients who will not respond to current therapy should receive a different treatment as early as possible. Machine learning models can be built to classify responders and nonresponder...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BMC
2024-04-01
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| Serier: | BMC Medical Research Methodology |
| Fag: | |
| Online adgang: | https://doi.org/10.1186/s12874-024-02185-7 |
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