https://github.com/cthoyt/symptomontology

The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it’s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom. The Symptom Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).

https://github.com/cthoyt/symptomontology

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The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it’s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom. The Symptom Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).

https://github.com/cthoyt/SymptomOntology/blob/main/

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# SymptomOntology
The Symptom Ontology was designed around the guiding concept of a symptom being: A perceived change in function, sensation or appearance reported by a patient indicative of a disease. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden its scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom.

Contact the Human Disease Ontology team: lschriml@som.umaryland.edu


## Citing the Symptom Ontology

Please cite the following when using the Symptom Ontology:

- Schriml LM, Arze C, Nadendla S, et al. GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. Nucleic Acids Res. 2010;38(Database issue):D754-D764. doi:10.1093/nar/gkp832. PMID: [19850722](https://pubmed.ncbi.nlm.nih.gov/19850722/).
- Schriml LM, Munro JB, Schor M, et al. The Human Disease Ontology 2022 update. Nucleic Acids Res. 2022;50(D1):D1255-D1261. doi:10.1093/nar/gkab1063. PMID: [34755882](https://pubmed.ncbi.nlm.nih.gov/34755882/).

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