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Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery
Predicting recovery after trauma is important to provide patients a perspective on their estimated future health, to engage in shared decision making and target interventions to relevant patient groups. In the present study, several unsupervised techniques are employed to cluster patients based on l...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550811/ https://www.ncbi.nlm.nih.gov/pubmed/36216874 http://dx.doi.org/10.1038/s41598-022-21390-2 |