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https://github.com/OHDSI/CommonDataModel/issues/141 for the sake of consistent naming

c4lm 2017-12-28 17:03:31 +03:00
parent 5c344104fe
commit fbf59f0557
1 changed files with 4 additions and 4 deletions
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8
StandardizedClinicalDataTables/NOTE_NLP.md

@ -12,10 +12,10 @@ note_nlp_concept_id | No | integer | A foreign key to the predefined Concept in
note_nlp_source_concept_id | no | integer | A foreign key to a Concept that refers to the code in the source vocabulary used by the NLP system note_nlp_source_concept_id | no | integer | A foreign key to a Concept that refers to the code in the source vocabulary used by the NLP system
nlp_system | No | varchar(250) | Name and version of the NLP system that extracted the term.Useful for data provenance. nlp_system | No | varchar(250) | Name and version of the NLP system that extracted the term.Useful for data provenance.
nlp_date | Yes | date | The date of the note processing.Useful for data provenance. nlp_date | Yes | date | The date of the note processing.Useful for data provenance.
nlp_date_time | No | datetime | The date and time of the note processing. Useful for data provenance. nlp_datetime | No | datetime | The date and time of the note processing. Useful for data provenance.
term_exists | No | varchar(1) | A summary modifier that signifies presence or absence of the term for a given patient. Useful for quick querying. * term_exists | No | varchar(1) | A summary modifier that signifies presence or absence of the term for a given patient. Useful for quick querying. *
term_temporal | No | varchar(50) | An optional time modifier associated with the extracted term. (for now “past” or “present” only). Standardize it later. term_temporal | No | varchar(50) | An optional time modifier associated with the extracted term. (for now “past” or “present” only). Standardize it later.
term_modifiers | No | varchar(2000) | A compact description of all the modifiers of the specific term extracted by the NLP system. (e.g. “son has rash” ? “negated=no,subject=family, certainty=undef,conditional=false,general=false”). term_modifiers | No | varchar(2000) | A compact description of all the modifiers of the specific term extracted by the NLP system. (e.g. “son has rash” ? “negated=no,subject=family, certainty=undef,conditional=false,general=false”).
### Conventions ### Conventions
@ -39,7 +39,7 @@ For the modifiers that are there, they would have to have these values:
* Uncertain = true or high or moderate or even low (could argue about low) * Uncertain = true or high or moderate or even low (could argue about low)
**Term_temporal** **Term_temporal**
Term_temporal is to indicate if a condition is “present” or just in the “past”. Term_temporal is to indicate if a condition is “present” or just in the “past”.
The following would be past: The following would be past: