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Problem Description
The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for eff…
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Raising some initial questions and proposals for Dipper modeling of 'predictive' associations between variants and treatment response, as relevant to ingest of cancer variant sources described in Tra…
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@stuppie, @mbrush, @cmungall to coordinate how diseases/indications are structured in wikidata
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# Disease modeling for public health - Kalman filter in R: FKF package
[https://www.jonghoonk.com/posts/vaccine_effectiveness/](https://www.jonghoonk.com/posts/vaccine_effectiveness/)
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Noting that we use both terms 'condition' and 'disease' in attribute names and class/attribute descriptions, across the different statement profile files. I assume that the inconsistent use of the te…
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(formerly part of https://github.com/Infectious-Disease-Modeling-Hubs/hubEvals/issues/12)
Create an internal data transformation function in hubEvals that will transform sample model-output data in…
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This function does not yet exist, but has been proposed here: https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/issues/149
Once that has been written, we can use that in place of code [h…
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In the hubEnsembles manuscript, we have a plot of quantile average and linear pool ensembles from the incident example data (Figure 5), where the median values are used as the point estimate. However,…
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Check latest image here: https://mybinder.org/v2/gh/Infectious-Disease-Modeling-Hubs/hubEnsemblesManuscript/try-qmd?urlpath=rstudio
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