Personalized Mortality Prediction Driven by Electronic Medical Data and a Patient Similarity Metric

BACKGROUND: Clinical outcome prediction normally employs static, one-size-fits-all models that perform well for the average patient but are sub-optimal for individual patients with unique characteristics. In the era of digital healthcare, it is feasible to dynamically personalize decision support by...

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Detalles Bibliográficos
Autores principales: Lee, Joon, Maslove, David M., Dubin, Joel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433333/
https://www.ncbi.nlm.nih.gov/pubmed/25978419
http://dx.doi.org/10.1371/journal.pone.0127428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433333/
https://www.ncbi.nlm.nih.gov/pubmed/25978419
http://dx.doi.org/10.1371/journal.pone.0127428

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