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Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype

We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to infer measurable and unmeasurable quantities that r...

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Detaylı Bibliyografya
Yayımlandı:J Am Med Inform Assoc
Asıl Yazarlar: Albers, David J, Levine, Matthew E, Stuart, Andrew, Mamykina, Lena, Gluckman, Bruce, Hripcsak, George
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6188514/
https://ncbi.nlm.nih.gov/pubmed/30312445
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy106
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