Learning from data to predict future symptoms of oncology patients

Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient’s treatment regimen more efficiently and provide more aggressive and timely...

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Detalles Bibliográficos
Autores principales: Papachristou, Nikolaos, Puschmann, Daniel, Barnaghi, Payam, Cooper, Bruce, Hu, Xiao, Maguire, Roma, Apostolidis, Kathi, P. Conley, Yvette, Hammer, Marilyn, Katsaragakis, Stylianos, M. Kober, Kord, D. Levine, Jon, McCann, Lisa, Patiraki, Elisabeth, P. Furlong, Eileen, A. Fox, Patricia, M. Paul, Steven, Ream, Emma, Wright, Fay, Miaskowski, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312306/
https://www.ncbi.nlm.nih.gov/pubmed/30596658
http://dx.doi.org/10.1371/journal.pone.0208808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312306/
https://www.ncbi.nlm.nih.gov/pubmed/30596658
http://dx.doi.org/10.1371/journal.pone.0208808

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