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ner_vop_problem_reduced_pipeline (#1546)
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gokhanturer authored Oct 16, 2024
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This pretrained pipeline is built on the top of [ner_anatomy_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_anatomy_biobert_en.html) model.

## Predicted Entities
`Multi-tissue_structure`, `Organism_substance`, `Organism_subdivision`, `Organ`, `Cellular_component`, `Cell`, `Immaterial_anatomical_entity`, `Tissue`, `Pathological_formation`, `Anatomical_system`, `Developing_anatomical_structure`



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Expand Up @@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_anatomy_coarse_biobert](htt

## Predicted Entities

`Anatomy`



{:.btn-box}
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Expand Up @@ -22,6 +22,7 @@ This pretrained pipeline is built on the top of [ner_clinical_trials_abstracts](

## Predicted Entities

`TimePoint`, `PublicationYear`, `Drug`, `BioAndMedicalUnit`, `DisorderOrSyndrome`, `Author`, `Journal`, `AllocationRatio`, `Duration`, `PValue`, `PMID`, `Country`, `DrugTime`, `DoseValue`, `CTDesign`, `Age`, `NumberPatients`, `CTAnalysisApproach`, `Value`, `Confidence`, `PercentagePatients`


{:.btn-box}
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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_covid_trials](https://nlp.johnsnowlabs.com/2022/10/19/ner_covid_trials_en.html) model.

## Predicted Entities
`Physiological_reaction`, `N_Patients`, `Treatment`, `Biological_molecules`, `Death_Entity`, `Route`, `Admission_Discharge`, `Drug_Ingredient`, `Statistical_Indicator`, `Cellular_component`, `Date`, `Heart_Disease`, `Viral_components`, `Virus`, `Respiration`, `VS_Finding`, `Age`, `Vaccine_Name`, `BMI`, `Trial_Design`, `Institution`, `Section_Header`, `Vaccine`, `Disease_Syndrome_Disorder`, `Gender`, `Pulse`, `Total_Cholesterol`, `Cerebrovascular_Disease`, `Diabetes`, `Stage`, `Employment`, `Cell_Type`, `Frequency`, `Time`, `Obesity`, `Dosage`, `Trial_Phase`, `Severity`, `Race_Ethnicity`, `Hypertension`, `Smoking`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_diseases](https://nlp.johnsnowlabs.com/2021/03/31/ner_diseases_en.html) model.

## Predicted Entities
`Disease`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_healthcare_slim](https://nlp.johnsnowlabs.com/2021/04/01/ner_healthcare_slim_de.html) model.

## Predicted Entities
`TREATMENT`, `TIME_INFORMATION`, `PERSON`, `MEDICAL_CONDITION`, `BODY_PART`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_sdoh_mentions](https://nlp.johnsnowlabs.com/2022/12/18/ner_sdoh_mentions_en.html) model.

## Predicted Entities
`behavior_alcohol`, `behavior_drug`, `sdoh_education`, `behavior_tobacco`, `sdoh_economics`, `sdoh_environment`, `sdoh_community`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pipeline extracts mentions of clinical problems from health-related text in colloquial language.

## Predicted Entities
`Disease`, `HealthStatus`, `Symptom`, `PsychologicalCondition`, `InjuryOrPoisoning`, `Modifier`



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Expand Up @@ -21,6 +21,10 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_clinical_trials_abstracts](https://nlp.johnsnowlabs.com/2022/06/22/ner_clinical_trials_abstracts_en_3_0.html) model.

## Predicted Entities

`TimePoint`, `PublicationYear`, `Drug`, `BioAndMedicalUnit`, `DisorderOrSyndrome`, `Author`, `Journal`, `AllocationRatio`, `Duration`, `PValue`, `PMID`, `Country`, `DrugTime`, `DoseValue`, `CTDesign`, `Age`, `NumberPatients`, `CTAnalysisApproach`, `Value`, `Confidence`, `PercentagePatients`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/1.Clinical_Named_Entity_Recognition_Model.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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This pretrained pipeline is built on the top of [ner_sdoh_mentions](https://nlp.johnsnowlabs.com/2022/12/18/ner_sdoh_mentions_en.html) model.

## Predicted Entities
`behavior_alcohol`, `behavior_drug`, `sdoh_education`, `behavior_tobacco`, `sdoh_economics`, `sdoh_environment`, `sdoh_community`


{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/SDOH/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/healthcare-nlp/27.0.Social_Determinant_of_Health_Models.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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This pretrained pipeline is built on the top of [ner_covid_trials](https://nlp.johnsnowlabs.com/2022/10/19/ner_covid_trials_en.html) model.


## Predicted Entities
`Physiological_reaction`, `N_Patients`, `Treatment`, `Biological_molecules`, `Death_Entity`, `Route`, `Admission_Discharge`, `Drug_Ingredient`, `Statistical_Indicator`, `Cellular_component`, `Date`, `Heart_Disease`, `Viral_components`, `Virus`, `Respiration`, `VS_Finding`, `Age`, `Vaccine_Name`, `BMI`, `Trial_Design`, `Institution`, `Section_Header`, `Vaccine`, `Disease_Syndrome_Disorder`, `Gender`, `Pulse`, `Total_Cholesterol`, `Cerebrovascular_Disease`, `Diabetes`, `Stage`, `Employment`, `Cell_Type`, `Frequency`, `Time`, `Obesity`, `Dosage`, `Trial_Phase`, `Severity`, `Race_Ethnicity`, `Hypertension`, `Smoking`


{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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4 changes: 4 additions & 0 deletions docs/_posts/Cabir40/2023-03-13-ner_deid_large_pipeline_en.md
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This pretrained pipeline is built on the top of [ner_deid_large](https://nlp.johnsnowlabs.com/2021/03/31/ner_deid_large_en.html) model.

## Predicted Entities
`LOCATION`, `CONTACT`, `PROFESSION`, `HEALTHPLAN`, `NAME`, `DATE`, `ID`, `URL`, `NN`, `AGE`


{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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3 changes: 3 additions & 0 deletions docs/_posts/Cabir40/2023-03-15-ner_diseases_pipeline_en.md
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This pretrained pipeline is built on the top of [ner_diseases](https://nlp.johnsnowlabs.com/2021/03/31/ner_diseases_en.html) model.

## Predicted Entities
`Disease`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_healthcare_slim](https://nlp.johnsnowlabs.com/2021/04/01/ner_healthcare_slim_de.html) model.

## Predicted Entities
`TREATMENT`, `TIME_INFORMATION`, `PERSON`, `MEDICAL_CONDITION`, `BODY_PART`


{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_anatomy_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_anatomy_biobert_en.html) model.

## Predicted Entities
`Multi-tissue_structure`, `Organism_substance`, `Organism_subdivision`, `Organ`, `Cellular_component`, `Cell`, `Immaterial_anatomical_entity`, `Tissue`, `Pathological_formation`, `Anatomical_system`, `Developing_anatomical_structure`


{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -20,6 +20,10 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_anatomy_coarse_biobert](https://nlp.johnsnowlabs.com/2021/03/31/ner_anatomy_coarse_biobert_en.html) model.

## Predicted Entities

`Anatomy`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_anatomy_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_anatomy_biobert_en.html) model.

## Predicted Entities
`Multi-tissue_structure`, `Organism_substance`, `Organism_subdivision`, `Organ`, `Cellular_component`, `Cell`, `Immaterial_anatomical_entity`, `Tissue`, `Pathological_formation`, `Anatomical_system`, `Developing_anatomical_structure`



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Expand Up @@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_anatomy_coarse_biobert](htt

## Predicted Entities

`Anatomy`



{:.btn-box}
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Expand Up @@ -22,6 +22,10 @@ This pretrained pipeline is built on the top of [ner_clinical_trials_abstracts](

## Predicted Entities

`TimePoint`, `PublicationYear`, `Drug`, `BioAndMedicalUnit`, `DisorderOrSyndrome`, `Author`, `Journal`, `AllocationRatio`, `Duration`, `PValue`, `PMID`, `Country`, `DrugTime`, `DoseValue`, `CTDesign`, `Age`, `NumberPatients`, `CTAnalysisApproach`, `Value`, `Confidence`, `PercentagePatients`





{:.btn-box}
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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_covid_trials](https://nlp.johnsnowlabs.com/2022/10/19/ner_covid_trials_en.html) model.

## Predicted Entities
`Physiological_reaction`, `N_Patients`, `Treatment`, `Biological_molecules`, `Death_Entity`, `Route`, `Admission_Discharge`, `Drug_Ingredient`, `Statistical_Indicator`, `Cellular_component`, `Date`, `Heart_Disease`, `Viral_components`, `Virus`, `Respiration`, `VS_Finding`, `Age`, `Vaccine_Name`, `BMI`, `Trial_Design`, `Institution`, `Section_Header`, `Vaccine`, `Disease_Syndrome_Disorder`, `Gender`, `Pulse`, `Total_Cholesterol`, `Cerebrovascular_Disease`, `Diabetes`, `Stage`, `Employment`, `Cell_Type`, `Frequency`, `Time`, `Obesity`, `Dosage`, `Trial_Phase`, `Severity`, `Race_Ethnicity`, `Hypertension`, `Smoking`



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1 change: 1 addition & 0 deletions docs/_posts/Cabir40/2023-06-16-ner_diseases_pipeline_en.md
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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_diseases](https://nlp.johnsnowlabs.com/2021/03/31/ner_diseases_en.html) model.

## Predicted Entities
`Disease`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_sdoh_mentions](https://nlp.johnsnowlabs.com/2022/12/18/ner_sdoh_mentions_en.html) model.

## Predicted Entities
`behavior_alcohol`, `behavior_drug`, `sdoh_education`, `behavior_tobacco`, `sdoh_economics`, `sdoh_environment`, `sdoh_community`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_healthcare_slim](https://nlp.johnsnowlabs.com/2021/04/01/ner_healthcare_slim_de.html) model.

## Predicted Entities
`TREATMENT`, `TIME_INFORMATION`, `PERSON`, `MEDICAL_CONDITION`, `BODY_PART`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pipeline extracts mentions of clinical problems from health-related text in colloquial language.

## Predicted Entities
`Disease`, `HealthStatus`, `Symptom`, `PsychologicalCondition`, `InjuryOrPoisoning`, `Modifier`



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Expand Up @@ -22,6 +22,8 @@ This pipeline extracts mentions of clinical problems from health-related text in

## Predicted Entities

`HealthStatus`, `Problem`, `Modifier`



{:.btn-box}
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_ade_clinical_langtest](https://nlp.johnsnowlabs.com/2023/07/31/ner_ade_clinical_langtest_en.html) model.

## Predicted Entities
`ADE`, `DRUG`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_ade_clinical_langtest](https://nlp.johnsnowlabs.com/2023/07/31/ner_ade_clinical_langtest_en.html) model.

## Predicted Entities
`ADE`, `DRUG`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
Expand All @@ -32,6 +35,7 @@ This pretrained pipeline is built on the top of [ner_ade_clinical_langtest](http

<div class="tabs-box" markdown="1">
{% include programmingLanguageSelectScalaPythonNLU.html %}

```python

from sparknlp.pretrained import PretrainedPipeline
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This pretrained pipeline is built on the top of [ner_covid_trials](https://nlp.johnsnowlabs.com/2022/10/19/ner_covid_trials_en.html) model.

## Predicted Entities
`Physiological_reaction`, `N_Patients`, `Treatment`, `Biological_molecules`, `Death_Entity`, `Route`, `Admission_Discharge`, `Drug_Ingredient`, `Statistical_Indicator`, `Cellular_component`, `Date`, `Heart_Disease`, `Viral_components`, `Virus`, `Respiration`, `VS_Finding`, `Age`, `Vaccine_Name`, `BMI`, `Trial_Design`, `Institution`, `Section_Header`, `Vaccine`, `Disease_Syndrome_Disorder`, `Gender`, `Pulse`, `Total_Cholesterol`, `Cerebrovascular_Disease`, `Diabetes`, `Stage`, `Employment`, `Cell_Type`, `Frequency`, `Time`, `Obesity`, `Dosage`, `Trial_Phase`, `Severity`, `Race_Ethnicity`, `Hypertension`, `Smoking`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_healthcare_slim](https://nlp.johnsnowlabs.com/2021/04/01/ner_healthcare_slim_de.html) model.

## Predicted Entities
`TREATMENT`, `TIME_INFORMATION`, `PERSON`, `MEDICAL_CONDITION`, `BODY_PART`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_sdoh_mentions](https://nlp.johnsnowlabs.com/2022/12/18/ner_sdoh_mentions_en.html) model.

## Predicted Entities
`behavior_alcohol`, `behavior_drug`, `sdoh_education`, `behavior_tobacco`, `sdoh_economics`, `sdoh_environment`, `sdoh_community`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pipeline includes Named-Entity Recognition, Assertion Status and Relation Extraction models to extract information from oncology texts. This pipeline focuses on entities related to biomarkers.

## Predicted Entities
`Biomarker_Result`, `Oncogene`, `Biomarker`, `Imaging_Test`, `Pathology_Test`, `PerformanceStatus`, `Drug`, `Test`, `Tumor_Finding`, `TargetedTherapy`, `Biomarker_Measurement`, `Duration`, `Chemotherapy`, `Oncogenes`, `Radiotherapy`, `Date`, `CancerModifier`, `Predictive_Biomarkers`, `HormonalTherapy`, `Staging`, `Age`, `Prognostic_Biomarkers`, `CancerSurgery`, `Immunotherapy`, `Metastasis`, `ResponseToTreatment`, `Radiological_Test`, `CancerDx`, `Radiological_Test_Result`, `UnspecificTherapy`, `Gender`, `Test_Result`, `Ethnicity`, `Dosage`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_anatomy_biobert](https://nlp.johnsnowlabs.com/2021/04/01/ner_anatomy_biobert_en.html) model.

## Predicted Entities
`Multi-tissue_structure`, `Organism_substance`, `Organism_subdivision`, `Organ`, `Cellular_component`, `Cell`, `Immaterial_anatomical_entity`, `Tissue`, `Pathological_formation`, `Anatomical_system`, `Developing_anatomical_structure`



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Expand Up @@ -22,6 +22,8 @@ This pretrained pipeline is built on the top of [ner_anatomy_coarse_biobert](htt

## Predicted Entities

`Anatomy`



{:.btn-box}
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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_covid_trials](https://nlp.johnsnowlabs.com/2022/10/19/ner_covid_trials_en.html) model.

## Predicted Entities
`Physiological_reaction`, `N_Patients`, `Treatment`, `Biological_molecules`, `Death_Entity`, `Route`, `Admission_Discharge`, `Drug_Ingredient`, `Statistical_Indicator`, `Cellular_component`, `Date`, `Heart_Disease`, `Viral_components`, `Virus`, `Respiration`, `VS_Finding`, `Age`, `Vaccine_Name`, `BMI`, `Trial_Design`, `Institution`, `Section_Header`, `Vaccine`, `Disease_Syndrome_Disorder`, `Gender`, `Pulse`, `Total_Cholesterol`, `Cerebrovascular_Disease`, `Diabetes`, `Stage`, `Employment`, `Cell_Type`, `Frequency`, `Time`, `Obesity`, `Dosage`, `Trial_Phase`, `Severity`, `Race_Ethnicity`, `Hypertension`, `Smoking`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_diseases](https://nlp.johnsnowlabs.com/2021/03/31/ner_diseases_en.html) model.

## Predicted Entities
`Disease`



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Expand Up @@ -21,6 +21,8 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_healthcare_slim](https://nlp.johnsnowlabs.com/2021/04/01/ner_healthcare_slim_de.html) model.

## Predicted Entities
`TREATMENT`, `TIME_INFORMATION`, `PERSON`, `MEDICAL_CONDITION`, `BODY_PART`




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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pretrained pipeline is built on the top of [ner_sdoh_mentions](https://nlp.johnsnowlabs.com/2022/12/18/ner_sdoh_mentions_en.html) model.

## Predicted Entities
`behavior_alcohol`, `behavior_drug`, `sdoh_education`, `behavior_tobacco`, `sdoh_economics`, `sdoh_environment`, `sdoh_community`



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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pipeline includes Named-Entity Recognition, Assertion Status and Relation Extraction models to extract information from oncology texts. This pipeline focuses on entities related to biomarkers.

## Predicted Entities
`Biomarker_Result`, `Oncogene`, `Biomarker`, `Imaging_Test`, `Pathology_Test`, `PerformanceStatus`, `Drug`, `Test`, `Tumor_Finding`, `TargetedTherapy`, `Biomarker_Measurement`, `Duration`, `Chemotherapy`, `Oncogenes`, `Radiotherapy`, `Date`, `CancerModifier`, `Predictive_Biomarkers`, `HormonalTherapy`, `Staging`, `Age`, `Prognostic_Biomarkers`, `CancerSurgery`, `Immunotherapy`, `Metastasis`, `ResponseToTreatment`, `Radiological_Test`, `CancerDx`, `Radiological_Test_Result`, `UnspecificTherapy`, `Gender`, `Test_Result`, `Ethnicity`, `Dosage`



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Expand Up @@ -21,6 +21,7 @@ use_language_switcher: "Python-Scala-Java"
This pipeline extracts mentions of clinical problems from health-related text in colloquial language.

## Predicted Entities
`Disease`, `HealthStatus`, `Symptom`, `PsychologicalCondition`, `InjuryOrPoisoning`, `Modifier`



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Expand Up @@ -22,7 +22,7 @@ This pipeline extracts mentions of clinical problems from health-related text in

## Predicted Entities


`HealthStatus`, `Problem`, `Modifier`

{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline is built on the top of [ner_ade_clinical_langtest](https://nlp.johnsnowlabs.com/2023/07/31/ner_ade_clinical_langtest_en.html) model.

## Predicted Entities
`ADE`, `DRUG`

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
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Expand Up @@ -21,6 +21,9 @@ use_language_switcher: "Python-Scala-Java"

This pipeline includes Named-Entity Recognition, Assertion Status and Relation Extraction models to extract information from oncology texts. This pipeline focuses on entities related to biomarkers.

## Predicted Entities
`Biomarker_Result`, `Oncogene`, `Biomarker`, `Imaging_Test`, `Pathology_Test`, `PerformanceStatus`, `Drug`, `Test`, `Tumor_Finding`, `TargetedTherapy`, `Biomarker_Measurement`, `Duration`, `Chemotherapy`, `Oncogenes`, `Radiotherapy`, `Date`, `CancerModifier`, `Predictive_Biomarkers`, `HormonalTherapy`, `Staging`, `Age`, `Prognostic_Biomarkers`, `CancerSurgery`, `Immunotherapy`, `Metastasis`, `ResponseToTreatment`, `Radiological_Test`, `CancerDx`, `Radiological_Test_Result`, `UnspecificTherapy`, `Gender`, `Test_Result`, `Ethnicity`, `Dosage`

{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/ONCOLOGY/){:.button.button-orange}
[Open in Colab](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/27.Oncology_Model.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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