2023-03-29-icd10cm_resolver_pipeline_en (#45)

* Add model 2023-03-29-icd10cm_resolver_pipeline_en

* Add model 2023-03-29-umls_drug_resolver_pipeline_en

---------

Co-authored-by: Ahmetemintek <ahmetemin.tek.66@gmail.com>

docs/_posts/Ahmetemintek/2023-03-29-icd10cm_resolver_pipeline_en.md

@@ -23,8 +23,8 @@ This pretrained pipeline maps entities with their corresponding ICD-10-CM codes.
 {:.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/3.Clinical_Entity_Resolvers.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/icd10cm_resolver_pipeline_en_4.3.2_3.2_1680102556141.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/icd10cm_resolver_pipeline_en_4.3.2_3.2_1680102556141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/icd10cm_resolver_pipeline_en_4.3.2_3.2_1680105059178.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/icd10cm_resolver_pipeline_en_4.3.2_3.2_1680105059178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -40,15 +40,13 @@ resolver_pipeline = PretrainedPipeline("icd10cm_resolver_pipeline", "en", "clini
 text = """A 28-year-old female with a history of gestational diabetes mellitus diagnosed eight years and anisakiasis. Also, it was reported that fetal and neonatal hemorrhage"""
 
 result = resolver_pipeline.fullAnnotate(text)
-
 ```
 ```scala
 import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
 
 val resolver_pipeline = new PretrainedPipeline("icd10cm_resolver_pipeline", "en", "clinical/models")
 
 val result = resolver_pipeline.fullAnnotate("""A 28-year-old female with a history of gestational diabetes mellitus diagnosed eight years and anisakiasis. Also, it was reported that fetal and neonatal hemorrhage""")
-
 ```
 </div>
 

docs/_posts/Ahmetemintek/2023-03-29-umls_drug_resolver_pipeline_en.md

@@ -0,0 +1,87 @@
+---
+layout: model
+title: Clinical Drugs to UMLS Code Mapping
+author: John Snow Labs
+name: umls_drug_resolver_pipeline
+date: 2023-03-29
+tags: [en, licensed, umls, pipeline]
+task: Pipeline Healthcare
+language: en
+edition: Healthcare NLP 4.3.2
+spark_version: 3.2
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This pretrained pipeline maps entities (Clinical Drugs) with their corresponding UMLS CUI codes. You’ll just feed your text and it will return the corresponding UMLS codes.
+
+{:.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/3.Clinical_Entity_Resolvers.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/umls_drug_resolver_pipeline_en_4.3.2_3.2_1680127003093.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/umls_drug_resolver_pipeline_en_4.3.2_3.2_1680127003093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+from sparknlp.pretrained import PretrainedPipeline
+
+pipeline= PretrainedPipeline("umls_drug_resolver_pipeline", "en", "clinical/models")
+pipeline.annotate("The patient was given Adapin 10 MG, coumadn 5 mg")
+```
+```scala
+import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
+
+val pipeline= PretrainedPipeline("umls_drug_resolver_pipeline", "en", "clinical/models")
+val pipeline.annotate("The patient was given Adapin 10 MG, coumadn 5 mg")
+```
+</div>
+
+## Results
+
+```bash
++------------+---------+---------+
+|chunk       |ner_label|umls_code|
++------------+---------+---------+
+|Adapin 10 MG|DRUG     |C2930083 |
+|coumadn 5 mg|DRUG     |C2723075 |
++------------+---------+---------+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|umls_drug_resolver_pipeline|
+|Type:|pipeline|
+|Compatibility:|Healthcare NLP 4.3.2+|
+|License:|Licensed|
+|Edition:|Official|
+|Language:|en|
+|Size:|4.6 GB|
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetector
+- TokenizerModel
+- WordEmbeddingsModel
+- MedicalNerModel
+- NerConverterInternalModel
+- ChunkMapperModel
+- ChunkMapperModel
+- ChunkMapperFilterer
+- Chunk2Doc
+- BertSentenceEmbeddings
+- SentenceEntityResolverModel
+- ResolverMerger