Implications of non-stationarity on predictive modeling using EHRs
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Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient GeneralizationComparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR dataElectronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.The use of machine learning for the identification of peripheral artery disease and future mortality riskA dataset quantifying polypharmacy in the United States.High-fidelity phenotyping: richness and freedom from bias.Predicting the need for a reduced drug dose, at first prescription
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Implications of non-stationarity on predictive modeling using EHRs
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2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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Implications of non-stationarity on predictive modeling using EHRs
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Implications of non-stationarity on predictive modeling using EHRs
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type
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Implications of non-stationarity on predictive modeling using EHRs
@ast
Implications of non-stationarity on predictive modeling using EHRs
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Implications of non-stationarity on predictive modeling using EHRs
@ast
Implications of non-stationarity on predictive modeling using EHRs
@en
P2860
P1476
Implications of non-stationarity on predictive modeling using EHRs
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P2093
Kenneth Jung
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P304
P356
10.1016/J.JBI.2015.10.006
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2015-10-20T00:00:00Z