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Clinical time series prediction: towards a hierarchical dynamical system framework
OBJECTIVE: Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision making. In this work, we...
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| Publicado no: | Artif Intell Med |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4422790/ https://ncbi.nlm.nih.gov/pubmed/25534671 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2014.10.005 |
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