updated md files (#324)

JohnSnowLabs · Jun 1, 2023 · f70c0b0 · f70c0b0
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diff --git a/docs/_posts/Cabir40/2023-05-04-bert_token_classifier_ner_jsl_en.md b/docs/_posts/Cabir40/2023-05-04-bert_token_classifier_ner_jsl_en.md
@@ -10,6 +10,7 @@ language: en
 edition: Healthcare NLP 3.4.0
 spark_version: 3.0
 supported: true
+recommended: true
 engine: tensorflow
 annotator: MedicalBertForTokenClassifier
 article_header:

diff --git a/docs/_posts/Damla-Gurbaz/2023-05-01-bert_token_classifier_ner_jsl_en.md b/docs/_posts/Damla-Gurbaz/2023-05-01-bert_token_classifier_ner_jsl_en.md
diff --git a/...sts/HashamUlHaq/2021-02-06-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md b/...sts/HashamUlHaq/2021-02-06-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md
@@ -21,7 +21,6 @@ use_language_switcher: "Python-Scala-Java"
 
 This model maps extracted medical entities to ICD10-CM codes using chunk embeddings (augmented with synonyms, four times richer than previous resolver). It also adds support of 7-digit codes with HCC status.
 
-For reference: http://www.formativhealth.com/wp-content/uploads/2018/06/HCC-White-Paper.pdf
 
 ## Predicted Entities
 

diff --git a/...sts/HashamUlHaq/2021-05-16-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md b/...sts/HashamUlHaq/2021-05-16-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md
@@ -18,7 +18,7 @@ use_language_switcher: "Python-Scala-Java"
 
 ## Description
 
-This model maps extracted medical entities to ICD10-CM codes using `sbiobert_base_cased_mli` Sentence Bert Embeddings, and has faster load time, with a speedup of about 6X when compared to previous versions. The load process now is more memory friendly meaning that the maximum memory required during load time is smaller, reducing the chances of OOM exceptions, and thus relaxing hardware requirements. It has been augmented with synonyms, four times richer than previous resolver. It also adds support of 7-digit codes with HCC status.For reference: http://www.formativhealth.com/wp-content/uploads/2018/06/HCC-White-Paper.pdf
+This model maps extracted medical entities to ICD10-CM codes using `sbiobert_base_cased_mli` Sentence Bert Embeddings, and has faster load time, with a speedup of about 6X when compared to previous versions. The load process now is more memory friendly meaning that the maximum memory required during load time is smaller, reducing the chances of OOM exceptions, and thus relaxing hardware requirements. It has been augmented with synonyms, four times richer than previous resolver. It also adds support of 7-digit codes with HCC status.
 
 
 ## Predicted Entities

diff --git a/docs/_posts/dcecchini/2023-05-29-summarizer_clinical_laymen_en.md b/docs/_posts/dcecchini/2023-05-29-summarizer_clinical_laymen_en.md
diff --git a/docs/_posts/mellahysf/2023-05-29-ner_deid_subentity_ar.md b/docs/_posts/mellahysf/2023-05-29-ner_deid_subentity_ar.md
diff --git a/...ts/muhammetsnts/2021-11-01-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md b/...ts/muhammetsnts/2021-11-01-sbiobertresolve_icd10cm_augmented_billable_hcc_en.md
@@ -19,7 +19,7 @@ use_language_switcher: "Python-Scala-Java"
 
 ## Description
 
-This model maps extracted medical entities to ICD10-CM codes using `sbiobert_base_cased_mli` Sentence Bert Embeddings and it supports 7-digit codes with HCC status. It has been updated by dropping the invalid codes that exist in the previous versions. In the result, look for the `all_k_aux_labels` parameter in the metadata to get HCC status. The HCC status can be divided to get further information: `billable status`, `hcc status`, and `hcc score`. For reference: [please click here](http://www.formativhealth.com/wp-content/uploads/2018/06/HCC-White-Paper.pdf) .
+This model maps extracted medical entities to ICD10-CM codes using `sbiobert_base_cased_mli` Sentence Bert Embeddings and it supports 7-digit codes with HCC status. It has been updated by dropping the invalid codes that exist in the previous versions. In the result, look for the `all_k_aux_labels` parameter in the metadata to get HCC status. The HCC status can be divided to get further information: `billable status`, `hcc status`, and `hcc score`.
 
 ## Predicted Entities