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Updated md cards with Predicted Entities section #1596

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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pre-trained pipeline is a BioBERT based classifier that can classify if an




{:.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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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pre-trained pipeline is a BioBERT based classifier that can classify if an




{:.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 @@ -24,6 +24,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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Expand Up @@ -24,6 +24,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pre-trained pipeline is a BioBERT based classifier that can classify if an




{:.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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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pre-trained pipeline is a BioBERT based classifier that can classify if an




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
<button class="button button-orange" disabled>Open in Colab</button>
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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Expand Up @@ -24,6 +24,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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3 changes: 3 additions & 0 deletions docs/_posts/Meryem1425/2023-08-16-abbreviation_pipeline_en.md
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

A pretrained pipeline to detect abbreviations and acronyms of medical regulatory activities as well as map them with their definitions and categories.

## Predicted Entities
`ABBR`

{:.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/SKocer/2023-08-16-abbreviation_pipeline_en.md
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

A pretrained pipeline to detect abbreviations and acronyms of medical regulatory activities as well as map them with their definitions and categories.

## Predicted Entities
`ABBR`

{:.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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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ This pre-trained pipeline is a BioBERT based classifier that can classify if an




{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
Expand Down
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Expand Up @@ -30,6 +30,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.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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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ This pretrained pipeline includes the Medical Bert for Sequence Classification m




{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

A pretrained pipeline to detect abbreviations and acronyms of medical regulatory activities as well as map them with their definitions and categories.

## Predicted Entities
`ABBR`

{:.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 includes the Medical Bert for Sequence Classification model to classify health-related text in colloquial language according to the presence or absence of mentions of side effects related to drugs. The pipeline is built on the top of [bert_sequence_classifier_vop_drug_side_effect](https://nlp.johnsnowlabs.com/2023/06/13/bert_sequence_classifier_vop_drug_side_effect_en.html) model.

## Predicted Entities


{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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Expand Up @@ -20,6 +20,9 @@ use_language_switcher: "Python-Scala-Java"

This pretrained pipeline includes the Medical Bert for Sequence Classification model to identify texts that mention a HCP consult. The pipeline is built on the top of [bert_sequence_classifier_vop_hcp_consult](https://nlp.johnsnowlabs.com/2023/06/13/bert_sequence_classifier_vop_hcp_consult_en.html) model.

## Predicted Entities


{:.btn-box}
[Live Demo](https://demo.johnsnowlabs.com/healthcare/VOP/){:.button.button-orange}
[Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/VOICE_OF_PATIENT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
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