Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods
Abstract Background Preference-based measures of health-related quality of life (HRQoL), such as the Short Form Six-Dimension (SF-6D) is essential for health economic evaluations. However, these measures are rarely included in clinical trials for lung cancer. This study aims to develop mapping algor...
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| Автори: | , , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2025-07-01
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| Серія: | Health and Quality of Life Outcomes |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s12955-025-02394-8 |
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