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...

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Detalles Bibliográficos
Autores principales: Stoitsas, Kostas, Bahulikar, Saurabh, de Munter, Leonie, de Jongh, Mariska A. C., Jansen, Maria A. C., Jung, Merel M., van Wingerden, Marijn, Van Deun, Katrijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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