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Coding: Creating Mapping Testing Pipeline #19
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I was looking to this paper for information on multilabel classification. https://pdfs.semanticscholar.org/686d/f0720dc54c476dcb4d69584ef3c530d85f7f.pdf |
This looks really promising! I will make sure to read it prior to our meeting Friday so we can discuss it. Great find! |
GOALS: Create a pipeline that can be used to extend pediatric clinical-concept mappings to a new data source.
Workflow Update: @SteeleRobert has agreed to help with creating this pipeline.
Background:
We have created a large set of mappings from clinical diagnoses (n=
29,128
), medications (n=9,175
unique medications or1,693
unique ingredients), and measurements (n=2,703
unique measurement results) to open biomedical ontologies.TODO:
General Guidelines:
keras
andTensorFlow
NEXT STEPS:
@SteeleRobert - are you good with this plan?
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