documentation:next_cdm:multi_level_linkage
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| documentation:next_cdm:multi_level_linkage [2015/12/07 15:04] – clairblacketer | documentation:next_cdm:multi_level_linkage [2017/03/01 17:06] (current) – clairblacketer | ||
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| - | **CDM Multi-Level Associations** | + | **Food Component Table** |
| * Proposer: Clair Blacketer | * Proposer: Clair Blacketer | ||
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| **Proposal** | **Proposal** | ||
| - | Add a table that allows for two or more levels of association or linkage between CONCEPT_IDs. This would mostly benefit data sources that are not claims or EHR based. The specific use case I am thinking of is related to the [[NHANES]] dataset. | + | Add an optional table similar to the DRUG_STRENGTH |
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| + | This {{: | ||
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| + | My proposal is that we create an optional reference table similar to the DRUG_STRENGTH table to house this information. This would also require the addition of USDA food codes to the vocabulary, as well the addition of food attributes to the vocabulary. | ||
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| + | ^Field^Required^Type^Description^ | ||
| + | |food_concept_id|Yes|integer|A foreign key to the Concept in the CONCEPT table representing the identifier for the USDA food code.| | ||
| + | |food_component_concept_id|Yes|integer|A foreign key to the Concept in the CONCEPT table representing the identifier for the food component (fat, sugar, etc.).| | ||
| + | |amount_value|No|float|The numeric value associated with the amount of the nutrient present in the food| | ||
| + | |amount_unit_concept_id|No|integer|A foreign key to the Concept in the CONCEPT table representing the identifier for the Unit for the absolute amount of the nutrient| | ||
| + | |valid_start_date|Yes|date|The date when the food concept was first recorded| | ||
| + | |valid_end_date|Yes|date|The date when the concept became invalid because it was deleted or superseded by a new Concept| | ||
| + | |invalid_reason|No|integer|Reason the concept was invalidated. Possible values are ' | ||
documentation/next_cdm/multi_level_linkage.1449500648.txt.gz · Last modified: by clairblacketer
