A multimodal deep learning architecture for estimating quality of life for advanced cancer patients based on wearable devices and patient-reported outcome measures
| Authors: | ; ; ; ; ; ; ; ; ; ; ; |
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| Format: | Article |
| Publication date: | 2026 |
| Country: | España |
| Institution: | Universidad Politécnica de Madrid |
| Repository: | Archivo Digital UPM |
| OAI Identifier: | oai:dnet:archivodigit::5f2217c51a9040064b89e72434ef9749 |
| Online Access: | https://oa.upm.es/96523/ |
| Access Level: | Open access |
| Keyword: | Multimodal AI deep learning cancer survival progression quality of life patient-reported outcome measures wearable sensors |
| Description not available. |