Anatomy

**Overview**
This data package contains the entire concept structure (sematic type, concepts and replationship) of UMLS Metathesaurus for the biomedical domain "Anatomy".

**Description**
The UMLS, or Unified Medical Language System, is a set of files and software that brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. There are three UMLS Knowledge Sources:
- The Metathesaurus, which contains over one million biomedical concepts from over 100 source vocabularies
- The Semantic Network, which defines 133 broad categories and fifty-four relationships between categories for labeling the biomedical domain
- The SPECIALIST Lexicon & Lexical Tools, which provide lexical information and programs for language processing The Metathesaurus is a large, multi-purpose, and multi-lingual vocabulary database that contains information about biomedical and health related concepts, their various names, and the relationships among them. The Metathesaurus is built from the electronic versions of many different thesauri, classifications, code sets, and lists of controlled terms used in patient care, health services billing, public health statistics, indexing and cataloging biomedical literature, and/or basic, clinical, and health services research. The Metathesaurus contains over five million terms, or names, organized by meaning into concepts and assigned a unique identifier. The Metathesaurus is not a vocabulary. It contains many vocabularies that are standards and helps to create mappings between these vocabularies. The Semantic Network consists of:
- Semantic types (high level categories)
- Semantic relationships (relationships between semantic types) The Semantic Network can be used to categorize any medical vocabulary. There are 133 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types. Semantic types and semantic relationships create a network that represents the biomedical domain. Semantic types and relationships help with interpreting the meaning that has been assigned to the Metathesaurus concept.

**Benefits**
- the purpose of the umls is to improve the ability of computer programs to "understand" the biomedical meaning in user inquiries and to use this understanding to retrieve and integrate relevant machine-readable information for users.
- one powerful use of the umls is linking health information, medical terms, drug names, and billing codes across different computer systems.
- linking terms and codes between your doctor, your pharmacy, and your insurance company.
- patient care coordination among several departments within a hospital.
- timely access to accurate and up-to-date information improves decision making and ultimately the quality of patient care and research.
- the umls has many other uses, including search engine retrieval, data mining, public health statistics reporting, and terminology research.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Acquired Abnormality Concepts and Types](https://www.johnsnowlabs.com/marketplace/acquired-abnormality-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Acquired Abnormality". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Acquired Abnormality Relationships](https://www.johnsnowlabs.com/marketplace/acquired-abnormality-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Acquired Abnormality". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Anatomical Abnormality Concepts and Types](https://www.johnsnowlabs.com/marketplace/anatomical-abnormality-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Anatomical Abnormality". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Anatomical Abnormality Relationships](https://www.johnsnowlabs.com/marketplace/anatomical-abnormality-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Anatomical Abnormality". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Anatomical Structure Concepts and Types](https://www.johnsnowlabs.com/marketplace/anatomical-structure-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Anatomical Structure". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Anatomical Structure Relationships](https://www.johnsnowlabs.com/marketplace/anatomical-structure-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Anatomical Structure". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Body Part Organ or Organ Component Concepts and Types](https://www.johnsnowlabs.com/marketplace/body-part-organ-or-organ-component-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Body Part Organ or Organ Component". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Body Part Organ or Organ Component Relationships](https://www.johnsnowlabs.com/marketplace/body-part-organ-or-organ-component-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Body Part Organ or Organ Component". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Cell Component Concepts and Types](https://www.johnsnowlabs.com/marketplace/cell-component-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Cell Component". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Cell Component Relationships](https://www.johnsnowlabs.com/marketplace/cell-component-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Cell Component". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Cell Concepts and Types](https://www.johnsnowlabs.com/marketplace/cell-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Cell". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Cell Relationships](https://www.johnsnowlabs.com/marketplace/cell-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Cell". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Congenital Abnormality Concepts and Types](https://www.johnsnowlabs.com/marketplace/congenital-abnormality-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Congenital Abnormality". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Congenital Abnormality Relationships](https://www.johnsnowlabs.com/marketplace/congenital-abnormality-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Congenital Abnormality". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Embryonic Structure Concepts and Types](https://www.johnsnowlabs.com/marketplace/embryonic-structure-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Embryonic Structure". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Embryonic Structure Relationships](https://www.johnsnowlabs.com/marketplace/embryonic-structure-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Embryonic Structure". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Finding Concepts and Types](https://www.johnsnowlabs.com/marketplace/finding-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Finding". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Finding Relationships](https://www.johnsnowlabs.com/marketplace/finding-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Finding". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Fully Formed Anatomical Structure Concepts and Types](https://www.johnsnowlabs.com/marketplace/fully-formed-anatomical-structure-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Fully Formed Anatomical Structure". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Fully Formed Anatomical Structure Relationships](https://www.johnsnowlabs.com/marketplace/fully-formed-anatomical-structure-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Fully Formed Anatomical Structure". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Gene or Genome Concepts and Types](https://www.johnsnowlabs.com/marketplace/gene-or-genome-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Gene or Genome". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Gene or Genome Relationships](https://www.johnsnowlabs.com/marketplace/gene-or-genome-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Gene or Genome". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Laboratory or Test Result Concepts and Types](https://www.johnsnowlabs.com/marketplace/laboratory-or-test-result-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Laboratory or Test Result". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Laboratory or Test Result Relationships](https://www.johnsnowlabs.com/marketplace/laboratory-or-test-result-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Laboratory or Test Result". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Sign or Symptom Concepts and Types](https://www.johnsnowlabs.com/marketplace/sign-or-symptom-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Sign or Symptom". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Sign or Symptom Relationships](https://www.johnsnowlabs.com/marketplace/sign-or-symptom-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Sign or Symptom". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Tissue Concepts and Types](https://www.johnsnowlabs.com/marketplace/tissue-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Tissue". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Tissue Relationships](https://www.johnsnowlabs.com/marketplace/tissue-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Tissue". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

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