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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2015
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| 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 |