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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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Xehetasun bibliografikoak
Argitaratua izan da:J Am Med Inform Assoc
Egile Nagusiak: Albers, David J, Levine, Matthew E, Stuart, Andrew, Mamykina, Lena, Gluckman, Bruce, Hripcsak, George
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2018
Gaiak:
Sarrera elektronikoa: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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