diff --git a/docs/en/spark_nlp_healthcare_versions/licensed_release_notes.md b/docs/en/spark_nlp_healthcare_versions/licensed_release_notes.md index 67a603dbeaf031..c6dcd7d16481d6 100644 --- a/docs/en/spark_nlp_healthcare_versions/licensed_release_notes.md +++ b/docs/en/spark_nlp_healthcare_versions/licensed_release_notes.md @@ -5,7 +5,7 @@ seotitle: Spark NLP for Healthcare | John Snow Labs title: Spark NLP for Healthcare Release Notes permalink: /docs/en/spark_nlp_healthcare_versions/licensed_release_notes key: docs-licensed-release-notes -modify_date: 2023-03-01 +modify_date: 2023-03-02 show_nav: true sidebar: nav: sparknlp-healthcare @@ -36,7 +36,7 @@ We are releasing a new VOP NER model that was trained on the conversations gathe | model name | description | predicted entities | |------------------------------------------------|-----------------------------------------------------------------------------------------------------|----------------------------------------| -| [ner_vop_slim_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_vop_slim_wip_en.html) | This model extracts healthcare-related terms from the documents transferred from the patient's own sentences. | `AdmissionDischarge` `Age` `BodyPart` `ClinicalDept` `DateTime` `Disease` `Dosage_Strength` `Drug` `Duration` `Employment` `Form` `Frequency` `Gender` `Laterality` `Procedure` `PsychologicalCondition` `RelationshipStatus` `Route` `Symptom` `Test` `Vaccine` `VitalTest` | +| [ner_vop_slim_wip](https://nlp.johnsnowlabs.com/2023/02/25/ner_vop_slim_wip_en.html) | This model extracts healthcare-related terms from the documents transferred from the patient's own sentences. | `AdmissionDischarge` `Age` `BodyPart` `ClinicalDept` `DateTime` `Disease` `Dosage_Strength` `Drug` `Duration` `Employment` `Form` `Frequency` `Gender` `Laterality` `Procedure` `PsychologicalCondition` `RelationshipStatus` `Route` `Symptom` `Test` `Vaccine` `VitalTest` | *Example*: @@ -87,10 +87,10 @@ We are releasing 4 new SDOH NER models with various entity combinations. | model name | description | predicted entities | |------------------------------------------------|-----------------------------------------------------------------------------------------------------|----------------------------------------| -| [ner_sdoh_substance_usage_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_substance_usage_wip_en.html) | This model extracts substance usage information related to Social Determinants of Health from various kinds of biomedical documents. | `Smoking` `Substance_Duration` `Substance_Use` `Substance_Quantity` `Substance_Frequency` `Alcohol` | -| [ner_sdoh_access_to_healthcare_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_access_to_healthcare_wip_en.html) | This model extracts access to healthcare information related to Social Determinants of Health from various kinds of biomedical documents. | `Insurance_Status` `Healthcare_Institution` `Access_To_Care` | -| [ner_sdoh_community_condition_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_community_condition_wip_en.html) | This model extracts community condition information related to Social Determinants of Health from various kinds of biomedical documents. | `Transportation` `Community_Living_Conditions` `Housing` `Food_Insecurity` | -| [ner_sdoh_health_behaviours_problems_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_health_behaviours_problems_wip_en.html) | This model extracts health and behaviours problems related to Social Determinants of Health from various kinds of biomedical documents. | `Diet` `Mental_Health` `Obesity` `Eating_Disorder` `Sexual_Activity` `Disability` `Quality_Of_Life` `Other_Disease` `Exercise` `Communicable_Disease` `Hyperlipidemia` `Hypertension` | +| [ner_sdoh_substance_usage_wip](https://nlp.johnsnowlabs.com/2023/02/23/ner_sdoh_substance_usage_wip_en.html) | This model extracts substance usage information related to Social Determinants of Health from various kinds of biomedical documents. | `Smoking` `Substance_Duration` `Substance_Use` `Substance_Quantity` `Substance_Frequency` `Alcohol` | +| [ner_sdoh_access_to_healthcare_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_access_to_healthcare_wip_en.html) | This model extracts access to healthcare information related to Social Determinants of Health from various kinds of biomedical documents. | `Insurance_Status` `Healthcare_Institution` `Access_To_Care` | +| [ner_sdoh_community_condition_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_community_condition_wip_en.html) | This model extracts community condition information related to Social Determinants of Health from various kinds of biomedical documents. | `Transportation` `Community_Living_Conditions` `Housing` `Food_Insecurity` | +| [ner_sdoh_health_behaviours_problems_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_health_behaviours_problems_wip_en.html) | This model extracts health and behaviours problems related to Social Determinants of Health from various kinds of biomedical documents. | `Diet` `Mental_Health` `Obesity` `Eating_Disorder` `Sexual_Activity` `Disability` `Quality_Of_Life` `Other_Disease` `Exercise` `Communicable_Disease` `Hyperlipidemia` `Hypertension` | - ner_sdoh_substance_usage_wip @@ -237,7 +237,7 @@ text= "She is given folic acid 1 mg daily , levothyroxine 0.1 mg and aspirin 81 | folic acid 1 mg | DRUG | 12281181 | ['12281181', '12283696', '12270292', ...| ['folic acid 1 MG [folic acid 1 MG]', 'folic acid 1.1 MG [folic acid 1.1 MG]',...| | levothyroxine 0.1 mg | DRUG | 12275630 | ['12275630', '12275646', '12301585', ...| ['levothyroxine sodium 0.1 MG [levothyroxine sodium 0.1 MG]', 'levothyroxine ...| | aspirin 81 mg | DRUG | 12278696 | ['12278696', '12299811', '12298729', ...| ['aspirin 81 MG [aspirin 81 MG]', 'aspirin 81 MG [YSP Aspirin] [aspirin 81 MG ...| - ``` +``` #### New Chunk Mapper Models For Mapping NDC Codes to Drug Brand Names As Well As Clinical Entities (like drugs/ingredients) to Rxnorm Codes diff --git a/docs/en/spark_nlp_healthcare_versions/release_notes_4_3_1.md b/docs/en/spark_nlp_healthcare_versions/release_notes_4_3_1.md index 6bab3e291af1fd..938a46a92485cb 100644 --- a/docs/en/spark_nlp_healthcare_versions/release_notes_4_3_1.md +++ b/docs/en/spark_nlp_healthcare_versions/release_notes_4_3_1.md @@ -5,7 +5,7 @@ seotitle: Spark NLP for Healthcare | John Snow Labs title: Spark NLP for Healthcare Release Notes 4.3.1 permalink: /docs/en/spark_nlp_healthcare_versions/release_notes_4_3_1 key: docs-licensed-release-notes -modify_date: 2023-03-01 +modify_date: 2023-03-02 show_nav: true sidebar: nav: sparknlp-healthcare @@ -36,7 +36,7 @@ We are releasing a new VOP NER model that was trained on the conversations gathe | model name | description | predicted entities | |------------------------------------------------|-----------------------------------------------------------------------------------------------------|----------------------------------------| -| [ner_vop_slim_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_vop_slim_wip_en.html) | This model extracts healthcare-related terms from the documents transferred from the patient's own sentences. | `AdmissionDischarge` `Age` `BodyPart` `ClinicalDept` `DateTime` `Disease` `Dosage_Strength` `Drug` `Duration` `Employment` `Form` `Frequency` `Gender` `Laterality` `Procedure` `PsychologicalCondition` `RelationshipStatus` `Route` `Symptom` `Test` `Vaccine` `VitalTest` | +| [ner_vop_slim_wip](https://nlp.johnsnowlabs.com/2023/02/25/ner_vop_slim_wip_en.html) | This model extracts healthcare-related terms from the documents transferred from the patient's own sentences. | `AdmissionDischarge` `Age` `BodyPart` `ClinicalDept` `DateTime` `Disease` `Dosage_Strength` `Drug` `Duration` `Employment` `Form` `Frequency` `Gender` `Laterality` `Procedure` `PsychologicalCondition` `RelationshipStatus` `Route` `Symptom` `Test` `Vaccine` `VitalTest` | *Example*: @@ -87,10 +87,10 @@ We are releasing 4 new SDOH NER models with various entity combinations. | model name | description | predicted entities | |------------------------------------------------|-----------------------------------------------------------------------------------------------------|----------------------------------------| -| [ner_sdoh_substance_usage_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_substance_usage_wip_en.html) | This model extracts substance usage information related to Social Determinants of Health from various kinds of biomedical documents. | `Smoking` `Substance_Duration` `Substance_Use` `Substance_Quantity` `Substance_Frequency` `Alcohol` | -| [ner_sdoh_access_to_healthcare_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_access_to_healthcare_wip_en.html) | This model extracts access to healthcare information related to Social Determinants of Health from various kinds of biomedical documents. | `Insurance_Status` `Healthcare_Institution` `Access_To_Care` | -| [ner_sdoh_community_condition_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_community_condition_wip_en.html) | This model extracts community condition information related to Social Determinants of Health from various kinds of biomedical documents. | `Transportation` `Community_Living_Conditions` `Housing` `Food_Insecurity` | -| [ner_sdoh_health_behaviours_problems_wip](https://nlp.johnsnowlabs.com/2023/03/02/ner_sdoh_health_behaviours_problems_wip_en.html) | This model extracts health and behaviours problems related to Social Determinants of Health from various kinds of biomedical documents. | `Diet` `Mental_Health` `Obesity` `Eating_Disorder` `Sexual_Activity` `Disability` `Quality_Of_Life` `Other_Disease` `Exercise` `Communicable_Disease` `Hyperlipidemia` `Hypertension` | +| [ner_sdoh_substance_usage_wip](https://nlp.johnsnowlabs.com/2023/02/23/ner_sdoh_substance_usage_wip_en.html) | This model extracts substance usage information related to Social Determinants of Health from various kinds of biomedical documents. | `Smoking` `Substance_Duration` `Substance_Use` `Substance_Quantity` `Substance_Frequency` `Alcohol` | +| [ner_sdoh_access_to_healthcare_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_access_to_healthcare_wip_en.html) | This model extracts access to healthcare information related to Social Determinants of Health from various kinds of biomedical documents. | `Insurance_Status` `Healthcare_Institution` `Access_To_Care` | +| [ner_sdoh_community_condition_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_community_condition_wip_en.html) | This model extracts community condition information related to Social Determinants of Health from various kinds of biomedical documents. | `Transportation` `Community_Living_Conditions` `Housing` `Food_Insecurity` | +| [ner_sdoh_health_behaviours_problems_wip](https://nlp.johnsnowlabs.com/2023/02/24/ner_sdoh_health_behaviours_problems_wip_en.html) | This model extracts health and behaviours problems related to Social Determinants of Health from various kinds of biomedical documents. | `Diet` `Mental_Health` `Obesity` `Eating_Disorder` `Sexual_Activity` `Disability` `Quality_Of_Life` `Other_Disease` `Exercise` `Communicable_Disease` `Hyperlipidemia` `Hypertension` | - ner_sdoh_substance_usage_wip @@ -237,7 +237,7 @@ text= "She is given folic acid 1 mg daily , levothyroxine 0.1 mg and aspirin 81 | folic acid 1 mg | DRUG | 12281181 | ['12281181', '12283696', '12270292', ...| ['folic acid 1 MG [folic acid 1 MG]', 'folic acid 1.1 MG [folic acid 1.1 MG]',...| | levothyroxine 0.1 mg | DRUG | 12275630 | ['12275630', '12275646', '12301585', ...| ['levothyroxine sodium 0.1 MG [levothyroxine sodium 0.1 MG]', 'levothyroxine ...| | aspirin 81 mg | DRUG | 12278696 | ['12278696', '12299811', '12298729', ...| ['aspirin 81 MG [aspirin 81 MG]', 'aspirin 81 MG [YSP Aspirin] [aspirin 81 MG ...| - ``` +``` #### New Chunk Mapper Models For Mapping NDC Codes to Drug Brand Names As Well As Clinical Entities (like drugs/ingredients) to Rxnorm Codes