Adding leading and trailing pipes to help auto-generation of CSV file

StandardizedClinicalDataTables/NOTE_NLP.md

@@ -2,20 +2,20 @@ The NOTE_NLP table will encode all output of NLP on clinical notes. Each row rep
 
 Field | Required | Type | Description
 :------------------------------- | :-------- | :------------ | :---------------------------------------------------
-note_nlp_id 				| Yes | integer | A unique identifier for each term extracted from a note.
+|note_nlp_id | Yes | integer | A unique identifier for each term extracted from a note.|
-note_id 					| Yes | integer | A foreign key to the Note table note the term was extracted from.
+|note_id | Yes | integer | A foreign key to the Note table note the term was |extracted from.|
-section_concept_id 			| No | integer | A foreign key to the predefined Concept in the Standardized Vocabularies representing the section of the extracted term.
+|section_concept_id | No | integer | A foreign key to the predefined Concept in the Standardized |Vocabularies representing the section of the extracted term.|
-snippet 					| No | varchar(250) | A small window of text surrounding the term.
+|snippet | No | varchar(250) | A small window of text surrounding the term.|
-offset 						| No | varchar(50) | Character offset of the extracted term in the input note.
+|offset | No | varchar(50) | Character offset of the extracted term in the |input note.|
-lexical_variant 			| Yes | varchar(250) | Raw text extracted from the NLP tool.
+|lexical_variant | Yes | varchar(250) | Raw text extracted from the NLP tool.|
-note_nlp_concept_id 		| No | integer | A foreign key to the predefined Concept in the Standardized Vocabularies reflecting the normalized concept for the extracted term. Domain of the term is represented as part of the Concept table.
+|note_nlp_concept_id | No | integer | A foreign key to the predefined Concept in the Standardized Vocabularies reflecting the normalized concept for the extracted term. Domain of the term is represented as part of the Concept table.|
-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_datetime 				| 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
 
@@ -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)
 
 **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: