pp update (#1514)

* pp update * updated md cards * Update 2023-06-17-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md * Update 2023-03-14-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md * Update 2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md * Update 2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md * Update 2022-03-21-jsl_rd_ner_wip_greedy_clinical_pipeline_en_3_0.md * updated md cards * updated md * updated md * updated md --------- Co-authored-by: Akar <[email protected]>
JohnSnowLabs · Oct 3, 2024 · 1c09142 · 1c09142
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diff --git a/docs/_posts/C-K-Loan/2023-06-17-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md b/docs/_posts/C-K-Loan/2023-06-17-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md
@@ -22,6 +22,9 @@ This pretrained pipeline is built on the top of [jsl_rd_ner_wip_greedy_clinical]
 
 ## Predicted Entities
 
+`Injury_or_Poisoning`, `Direction`, `Test`, `Route`, `Admission_Discharge`, `ImagingTest`, `Units`, `Death_Entity`, `Oxygen_Therapy`, `Relationship_Status`, `Triglycerides`, `Duration`, `Alcohol`, `Date`, `OtherFindings`, `BodyPart`, `Drug`, `Hyperlipidemia`, `Respiration`, `Birth_Entity`, `VS_Finding`, `Age`, `ManualFix`, `Social_History_Header`, `Family_History_Header`, `Medical_Device`, `Labour_Delivery`, `BMI`, `Fetus_NewBorn`, `Temperature`, `Section_Header`, `Communicable_Disease`, `ImagingFindings`, `Psychological_Condition`, `Obesity`, `Sexually_Active_or_Sexual_Orientation`, `Modifier`, `Vaccine`, `Symptom`, `Kidney_Disease`, `Pulse`, `Oncological`, `EKG_Findings`, `Medical_History_Header`, `Cerebrovascular_Disease`, `Blood_Pressure`, `Diabetes`, `O2_Saturation`, `Heart_Disease`, `Employment`, `Frequency`, `Disease_Syndrome_Disorder`, `Pregnancy`, `RelativeDate`, `Procedure`, `Overweight`, `Race_Ethnicity`, `Hypertension`, `Imaging_Technique`, `Test_Result`, `Treatment`, `Substance`, `Clinical_Dept`, `LDL`, `Measurements`, `Diet`, `Substance_Quantity`, `Allergen`, `Gender`, `RelativeTime`, `Score`, `Total_Cholesterol`, `Vital_Signs_Header`, `Height`, `Smoking`, `Form`, `Strength`, `Weight`, `Time`, `Dosage`, `HDL`
+
+
 
 
 {:.btn-box}
@@ -116,4 +119,4 @@ nlu.load("en.med_ner.jsl_rd_wip_greedy.pipeline").predict("""The patient is a 21
 - TokenizerModel
 - WordEmbeddingsModel
 - MedicalNerModel
-- NerConverterInternalModel
+- NerConverterInternalModel
diff --git a/docs/_posts/C-K-Loan/2023-06-17-ner_cellular_biobert_pipeline_en.md b/docs/_posts/C-K-Loan/2023-06-17-ner_cellular_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_cellular_biobert](https://n
 
 ## Predicted Entities
 
+`DNA`, `protein`, `cell_type`, `cell_line`, `RNA`.
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/C-K-Loan/2023-06-17-ner_human_phenotype_gene_biobert_pipeline_en.md b/docs/_posts/C-K-Loan/2023-06-17-ner_human_phenotype_gene_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_human_phenotype_gene_biober
 
 ## Predicted Entities
 
+`GENE`, `HP`.
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/C-K-Loan/2023-06-17-ner_living_species_biobert_pipeline_en.md b/docs/_posts/C-K-Loan/2023-06-17-ner_living_species_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_living_species_biobert](htt
 
 ## Predicted Entities
 
+`SPECIES`, `HUMAN`
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/Cabir40/2023-03-14-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md b/docs/_posts/Cabir40/2023-03-14-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md
@@ -20,6 +20,13 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [jsl_rd_ner_wip_greedy_clinical](https://nlp.johnsnowlabs.com/2021/04/01/jsl_rd_ner_wip_greedy_clinical_en.html) model.
 
+## Predicted Entities
+
+`Injury_or_Poisoning`, `Direction`, `Test`, `Route`, `Admission_Discharge`, `ImagingTest`, `Units`, `Death_Entity`, `Oxygen_Therapy`, `Relationship_Status`, `Triglycerides`, `Duration`, `Alcohol`, `Date`, `OtherFindings`, `BodyPart`, `Drug`, `Hyperlipidemia`, `Respiration`, `Birth_Entity`, `VS_Finding`, `Age`, `ManualFix`, `Social_History_Header`, `Family_History_Header`, `Medical_Device`, `Labour_Delivery`, `BMI`, `Fetus_NewBorn`, `Temperature`, `Section_Header`, `Communicable_Disease`, `ImagingFindings`, `Psychological_Condition`, `Obesity`, `Sexually_Active_or_Sexual_Orientation`, `Modifier`, `Vaccine`, `Symptom`, `Kidney_Disease`, `Pulse`, `Oncological`, `EKG_Findings`, `Medical_History_Header`, `Cerebrovascular_Disease`, `Blood_Pressure`, `Diabetes`, `O2_Saturation`, `Heart_Disease`, `Employment`, `Frequency`, `Disease_Syndrome_Disorder`, `Pregnancy`, `RelativeDate`, `Procedure`, `Overweight`, `Race_Ethnicity`, `Hypertension`, `Imaging_Technique`, `Test_Result`, `Treatment`, `Substance`, `Clinical_Dept`, `LDL`, `Measurements`, `Diet`, `Substance_Quantity`, `Allergen`, `Gender`, `RelativeTime`, `Score`, `Total_Cholesterol`, `Vital_Signs_Header`, `Height`, `Smoking`, `Form`, `Strength`, `Weight`, `Time`, `Dosage`, `HDL`
+
+
+
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
@@ -113,4 +120,4 @@ nlu.load("en.med_ner.jsl_rd_wip_greedy.pipeline").predict("""The patient is a 21
 - TokenizerModel
 - WordEmbeddingsModel
 - MedicalNerModel
-- NerConverterInternalModel
+- NerConverterInternalModel
diff --git a/docs/_posts/Cabir40/2023-03-20-ner_cellular_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-03-20-ner_cellular_biobert_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_cellular_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_cellular_biobert_en.html) model.
 
+## Predicted Entities
+
+`DNA`, `protein`, `cell_type`, `cell_line`, `RNA`.
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/Cabir40/2023-03-20-ner_human_phenotype_gene_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-03-20-ner_human_phenotype_gene_biobert_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_human_phenotype_gene_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_human_phenotype_gene_biobert_en.html) model.
 
+## Predicted Entities
+
+`GENE`, `HP`.
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/Cabir40/2023-03-20-ner_living_species_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-03-20-ner_living_species_biobert_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_living_species_biobert](https://nlp.johnsnowlabs.com/2022/06/22/ner_living_species_biobert_en_3_0.html) model.
 
+## Predicted Entities
+
+`SPECIES`, `HUMAN`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/Cabir40/2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md b/docs/_posts/Cabir40/2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md
@@ -22,6 +22,9 @@ This pretrained pipeline is built on the top of [jsl_rd_ner_wip_greedy_clinical]
 
 ## Predicted Entities
 
+`Injury_or_Poisoning`, `Direction`, `Test`, `Route`, `Admission_Discharge`, `ImagingTest`, `Units`, `Death_Entity`, `Oxygen_Therapy`, `Relationship_Status`, `Triglycerides`, `Duration`, `Alcohol`, `Date`, `OtherFindings`, `BodyPart`, `Drug`, `Hyperlipidemia`, `Respiration`, `Birth_Entity`, `VS_Finding`, `Age`, `ManualFix`, `Social_History_Header`, `Family_History_Header`, `Medical_Device`, `Labour_Delivery`, `BMI`, `Fetus_NewBorn`, `Temperature`, `Section_Header`, `Communicable_Disease`, `ImagingFindings`, `Psychological_Condition`, `Obesity`, `Sexually_Active_or_Sexual_Orientation`, `Modifier`, `Vaccine`, `Symptom`, `Kidney_Disease`, `Pulse`, `Oncological`, `EKG_Findings`, `Medical_History_Header`, `Cerebrovascular_Disease`, `Blood_Pressure`, `Diabetes`, `O2_Saturation`, `Heart_Disease`, `Employment`, `Frequency`, `Disease_Syndrome_Disorder`, `Pregnancy`, `RelativeDate`, `Procedure`, `Overweight`, `Race_Ethnicity`, `Hypertension`, `Imaging_Technique`, `Test_Result`, `Treatment`, `Substance`, `Clinical_Dept`, `LDL`, `Measurements`, `Diet`, `Substance_Quantity`, `Allergen`, `Gender`, `RelativeTime`, `Score`, `Total_Cholesterol`, `Vital_Signs_Header`, `Height`, `Smoking`, `Form`, `Strength`, `Weight`, `Time`, `Dosage`, `HDL`
+
+
 
 
 {:.btn-box}
@@ -116,4 +119,4 @@ nlu.load("en.med_ner.jsl_rd_wip_greedy.pipeline").predict("""The patient is a 21
 - TokenizerModel
 - WordEmbeddingsModel
 - MedicalNerModel
-- NerConverterInternalModel
+- NerConverterInternalModel
diff --git a/docs/_posts/Cabir40/2023-06-16-ner_cellular_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-06-16-ner_cellular_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_cellular_biobert](https://n
 
 ## Predicted Entities
 
+`DNA`, `protein`, `cell_type`, `cell_line`, `RNA`.
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/Cabir40/2023-06-16-ner_human_phenotype_gene_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-06-16-ner_human_phenotype_gene_biobert_pipeline_en.md
@@ -20,8 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_human_phenotype_gene_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_human_phenotype_gene_biobert_en.html) model.
 
+
 ## Predicted Entities
 
+`GENE`, `HP`.
 
 
 {:.btn-box}

diff --git a/docs/_posts/Cabir40/2023-06-17-ner_living_species_biobert_pipeline_en.md b/docs/_posts/Cabir40/2023-06-17-ner_living_species_biobert_pipeline_en.md
@@ -22,6 +22,7 @@ This pretrained pipeline is built on the top of [ner_living_species_biobert](htt
 
 ## Predicted Entities
 
+`SPECIES`, `HUMAN`
 
 
 {:.btn-box}

diff --git a/docs/_posts/Damla-Gurbaz/2023-07-01-icd10gm_resolver_pipeline_de.md b/docs/_posts/Damla-Gurbaz/2023-07-01-icd10gm_resolver_pipeline_de.md
@@ -32,6 +32,7 @@ This pretrained pipeline maps extracted entities in the German language to ICD-1
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 from sparknlp.pretrained import PretrainedPipeline
 

diff --git a/docs/_posts/ahmedlone127/2023-06-13-ner_living_species_biobert_pipeline_en.md b/docs/_posts/ahmedlone127/2023-06-13-ner_living_species_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_living_species_biobert](htt
 
 ## Predicted Entities
 
+`SPECIES`, `HUMAN`
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/ahmedlone127/2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md b/docs/_posts/ahmedlone127/2023-06-16-jsl_rd_ner_wip_greedy_clinical_pipeline_en.md
@@ -22,6 +22,9 @@ This pretrained pipeline is built on the top of [jsl_rd_ner_wip_greedy_clinical]
 
 ## Predicted Entities
 
+`Injury_or_Poisoning`, `Direction`, `Test`, `Route`, `Admission_Discharge`, `ImagingTest`, `Units`, `Death_Entity`, `Oxygen_Therapy`, `Relationship_Status`, `Triglycerides`, `Duration`, `Alcohol`, `Date`, `OtherFindings`, `BodyPart`, `Drug`, `Hyperlipidemia`, `Respiration`, `Birth_Entity`, `VS_Finding`, `Age`, `ManualFix`, `Social_History_Header`, `Family_History_Header`, `Medical_Device`, `Labour_Delivery`, `BMI`, `Fetus_NewBorn`, `Temperature`, `Section_Header`, `Communicable_Disease`, `ImagingFindings`, `Psychological_Condition`, `Obesity`, `Sexually_Active_or_Sexual_Orientation`, `Modifier`, `Vaccine`, `Symptom`, `Kidney_Disease`, `Pulse`, `Oncological`, `EKG_Findings`, `Medical_History_Header`, `Cerebrovascular_Disease`, `Blood_Pressure`, `Diabetes`, `O2_Saturation`, `Heart_Disease`, `Employment`, `Frequency`, `Disease_Syndrome_Disorder`, `Pregnancy`, `RelativeDate`, `Procedure`, `Overweight`, `Race_Ethnicity`, `Hypertension`, `Imaging_Technique`, `Test_Result`, `Treatment`, `Substance`, `Clinical_Dept`, `LDL`, `Measurements`, `Diet`, `Substance_Quantity`, `Allergen`, `Gender`, `RelativeTime`, `Score`, `Total_Cholesterol`, `Vital_Signs_Header`, `Height`, `Smoking`, `Form`, `Strength`, `Weight`, `Time`, `Dosage`, `HDL`
+
+
 
 
 {:.btn-box}
@@ -117,4 +120,4 @@ nlu.load("en.med_ner.jsl_rd_wip_greedy.pipeline").predict("""The patient is a 21
 - TokenizerModel
 - WordEmbeddingsModel
 - MedicalNerModel
-- NerConverterInternalModel
+- NerConverterInternalModel
diff --git a/docs/_posts/ahmedlone127/2023-06-16-ner_cellular_biobert_pipeline_en.md b/docs/_posts/ahmedlone127/2023-06-16-ner_cellular_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_cellular_biobert](https://n
 
 ## Predicted Entities
 
+`DNA`, `protein`, `cell_type`, `cell_line`, `RNA`.
+
 
 
 {:.btn-box}

diff --git a/.../_posts/ahmedlone127/2023-06-16-ner_human_phenotype_gene_biobert_pipeline_en.md b/.../_posts/ahmedlone127/2023-06-16-ner_human_phenotype_gene_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_human_phenotype_gene_biober
 
 ## Predicted Entities
 
+`GENE`, `HP`.
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/ahmedlone127/2023-06-16-ner_living_species_biobert_pipeline_en.md b/docs/_posts/ahmedlone127/2023-06-16-ner_living_species_biobert_pipeline_en.md
@@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_living_species_biobert](htt
 
 ## Predicted Entities
 
+`SPECIES`, `HUMAN`
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/ahmet-mesut/2024-01-18-hpo_resolver_pipeline_en.md b/docs/_posts/ahmet-mesut/2024-01-18-hpo_resolver_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This advanced pipeline extracts human phenotype entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Human Phenotype Ontology (HPO) codes. It also returns associated codes from the following vocabularies for each HPO code: - MeSH (Medical Subject Headings)- SNOMED- UMLS (Unified Medical Language System ) - ORPHA (international reference resource for information on rare diseases and orphan drugs) - OMIM (Online Mendelian Inheritance in Man).
 
+## Predicted Entities
+
+`HP`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/ahmet-mesut/2024-01-25-mesh_resolver_pipeline_en.md b/docs/_posts/ahmet-mesut/2024-01-25-mesh_resolver_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This advanced pipeline extracts clinical entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Medical Subject Heading (MeSH) codes.
 
+## Predicted Entities
+
+`TREATMENT`, `PROBLEM`, `TEST`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/akrztrk/2024-01-18-hpo_resolver_pipeline_en.md b/docs/_posts/akrztrk/2024-01-18-hpo_resolver_pipeline_en.md
@@ -26,6 +26,10 @@ deploy:
 
 This advanced pipeline extracts human phenotype entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Human Phenotype Ontology (HPO) codes. It also returns associated codes from the following vocabularies for each HPO code: - MeSH (Medical Subject Headings)- SNOMED- UMLS (Unified Medical Language System ) - ORPHA (international reference resource for information on rare diseases and orphan drugs) - OMIM (Online Mendelian Inheritance in Man).
 
+## Predicted Entities
+
+`HP`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
@@ -45,6 +49,7 @@ This advanced pipeline extracts human phenotype entities from clinical texts and
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 
 from sparknlp.pretrained import PretrainedPipeline

diff --git a/docs/_posts/akrztrk/2024-01-25-mesh_resolver_pipeline_en.md b/docs/_posts/akrztrk/2024-01-25-mesh_resolver_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This advanced pipeline extracts clinical entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Medical Subject Heading (MeSH) codes.
 
+## Predicted Entities
+
+`TREATMENT`, `PROBLEM`, `TEST`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/bunyamin-polat/2024-01-17-hpo_resolver_pipeline_en.md b/docs/_posts/bunyamin-polat/2024-01-17-hpo_resolver_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This advanced pipeline extracts human phenotype entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Human Phenotype Ontology (HPO) codes. It also returns associated codes from the following vocabularies for each HPO code: - MeSH (Medical Subject Headings)- SNOMED- UMLS (Unified Medical Language System ) - ORPHA (international reference resource for information on rare diseases and orphan drugs) - OMIM (Online Mendelian Inheritance in Man).
 
+## Predicted Entities
+
+`HP`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/bunyamin-polat/2024-01-25-mesh_resolver_pipeline_en.md b/docs/_posts/bunyamin-polat/2024-01-25-mesh_resolver_pipeline_en.md
@@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This advanced pipeline extracts clinical entities from clinical texts and utilizes the `sbiobert_base_cased_mli` Sentence Bert Embeddings to map these entities to their corresponding Medical Subject Heading (MeSH) codes.
 
+## Predicted Entities
+
+`TREATMENT`, `PROBLEM`, `TEST`
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/..._posts/murat-gunay/2022-03-21-jsl_rd_ner_wip_greedy_clinical_pipeline_en_3_0.md b/..._posts/murat-gunay/2022-03-21-jsl_rd_ner_wip_greedy_clinical_pipeline_en_3_0.md
@@ -21,6 +21,11 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [jsl_rd_ner_wip_greedy_clinical](https://nlp.johnsnowlabs.com/2021/04/01/jsl_rd_ner_wip_greedy_clinical_en.html) model.
 
+## Predicted Entities
+
+`Injury_or_Poisoning`, `Direction`, `Test`, `Route`, `Admission_Discharge`, `ImagingTest`, `Units`, `Death_Entity`, `Oxygen_Therapy`, `Relationship_Status`, `Triglycerides`, `Duration`, `Alcohol`, `Date`, `OtherFindings`, `BodyPart`, `Drug`, `Hyperlipidemia`, `Respiration`, `Birth_Entity`, `VS_Finding`, `Age`, `ManualFix`, `Social_History_Header`, `Family_History_Header`, `Medical_Device`, `Labour_Delivery`, `BMI`, `Fetus_NewBorn`, `Temperature`, `Section_Header`, `Communicable_Disease`, `ImagingFindings`, `Psychological_Condition`, `Obesity`, `Sexually_Active_or_Sexual_Orientation`, `Modifier`, `Vaccine`, `Symptom`, `Kidney_Disease`, `Pulse`, `Oncological`, `EKG_Findings`, `Medical_History_Header`, `Cerebrovascular_Disease`, `Blood_Pressure`, `Diabetes`, `O2_Saturation`, `Heart_Disease`, `Employment`, `Frequency`, `Disease_Syndrome_Disorder`, `Pregnancy`, `RelativeDate`, `Procedure`, `Overweight`, `Race_Ethnicity`, `Hypertension`, `Imaging_Technique`, `Test_Result`, `Treatment`, `Substance`, `Clinical_Dept`, `LDL`, `Measurements`, `Diet`, `Substance_Quantity`, `Allergen`, `Gender`, `RelativeTime`, `Score`, `Total_Cholesterol`, `Vital_Signs_Header`, `Height`, `Smoking`, `Form`, `Strength`, `Weight`, `Time`, `Dosage`, `HDL`
+
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/docs/_posts/murat-gunay/2022-03-21-ner_cellular_biobert_pipeline_en_3_0.md b/docs/_posts/murat-gunay/2022-03-21-ner_cellular_biobert_pipeline_en_3_0.md
@@ -21,6 +21,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_cellular_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_cellular_biobert_en.html) model.
 
+## Predicted Entities
+
+`DNA`, `protein`, `cell_type`, `cell_line`, `RNA`.
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>

diff --git a/...sts/murat-gunay/2022-03-21-ner_deid_subentity_augmented_i2b2_pipeline_en_3_0.md b/...sts/murat-gunay/2022-03-21-ner_deid_subentity_augmented_i2b2_pipeline_en_3_0.md
@@ -21,6 +21,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_deid_subentity_augmented_i2b2](https://nlp.johnsnowlabs.com/2021/11/29/ner_deid_subentity_augmented_i2b2_en.html) model.
 
+## Predicted Entities
+
+`MEDICALRECORD`, `ORGANIZATION`, `PROFESSION`, `HEALTHPLAN`, `DOCTOR`, `USERNAME`, `URL`, `LOCATION-OTHER`, `DEVICE`, `CITY`, `DATE`, `ZIP`, `STATE`, `PATIENT`, `COUNTRY`, `STREET`, `PHONE`, `HOSPITAL`, `EMAIL`, `IDNUM`, `BIOID`, `FAX`, `AGE`
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/healthcare/NER_DEMOGRAPHICS/){:.button.button-orange}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/NER_DEMOGRAPHICS.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/...osts/murat-gunay/2022-03-21-ner_human_phenotype_gene_biobert_pipeline_en_3_0.md b/...osts/murat-gunay/2022-03-21-ner_human_phenotype_gene_biobert_pipeline_en_3_0.md
@@ -21,6 +21,10 @@ use_language_switcher: "Python-Scala-Java"
 
 This pretrained pipeline is built on the top of [ner_human_phenotype_gene_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_human_phenotype_gene_biobert_en.html) model.
 
+## Predicted Entities
+
+`GENE`, `HP`.
+
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>