Analysis of free text in electronic health records for identification of cancer patient trajectories

With an aging patient population and increasing complexity in patient disease trajectories, physicians are often met with complex patient histories from which clinical decisions must be made. Due to the increasing rate of adverse events and hospitals facing financial penalties for readmission, there...

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Detalles Bibliográficos
Autores principales: Jensen, Kasper, Soguero-Ruiz, Cristina, Oyvind Mikalsen, Karl, Lindsetmo, Rolv-Ole, Kouskoumvekaki, Irene, Girolami, Mark, Olav Skrovseth, Stein, Magne Augestad, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384191/
https://www.ncbi.nlm.nih.gov/pubmed/28387314
http://dx.doi.org/10.1038/srep46226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384191/
https://www.ncbi.nlm.nih.gov/pubmed/28387314
http://dx.doi.org/10.1038/srep46226

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