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Patient-Specific Learning in Real Time for Adaptive Monitoring in Critical Care
Intensive care monitoring systems are typically developed from population data, but do not take into account the variability among individual patients’ characteristics. This study develops patient-specific alarm algorithms in real time. Classification tree and neural network learning were carried ou...
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| Pubblicato in: | J Biomed Inform |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2008
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4450160/ https://ncbi.nlm.nih.gov/pubmed/18463000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2008.03.011 |
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