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Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC
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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868553865710796800 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:90043 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| last_indexed | 2026-06-20T21:43:32.555Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_alt | Hacia una oncología de precisión explicable: modelado de supervivencia de Cox guiado por SHAP desde la predicción a nivel poblacional hasta la explicación específica del paciente en NSCLC Vers une oncologie de précision explicable : modélisation de survie de Cox guidée par SHAP de la prédiction au niveau de la population à l'explication spécifique au patient dans le NSCLC Rumo à oncologia de precisão explicável: modelagem de sobrevivência de Cox guiada por SHAP da previsão em nível populacional à explicação específica do paciente em NSCLC |
| title_auth | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_es_txt | Hacia una oncología de precisión explicable: modelado de supervivencia de Cox guiado por SHAP desde la predicción a nivel poblacional hasta la explicación específica del paciente en NSCLC |
| title_fr_txt | Vers une oncologie de précision explicable : modélisation de survie de Cox guidée par SHAP de la prédiction au niveau de la population à l'explication spécifique au patient dans le NSCLC |
| title_full | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_fullStr | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_full_unstemmed | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_pt_txt | Rumo à oncologia de precisão explicável: modelagem de sobrevivência de Cox guiada por SHAP da previsão em nível populacional à explicação específica do paciente em NSCLC |
| title_short | Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC |
| title_sort | toward explainable precision oncology: shap-guided cox survival modeling from population-level prediction to patient-specific explanation in nsclc |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01491-x |