https://github.com/monarch-initiative/loinc2hpo
Java library to map LOINC-encoded test results to Human Phenotype Ontology
https://github.com/monarch-initiative/loinc2hpo
ehr fhir healthcare hpo loinc monarchinitiative
Last synced: 3 months ago
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Java library to map LOINC-encoded test results to Human Phenotype Ontology
- Host: GitHub
- URL: https://github.com/monarch-initiative/loinc2hpo
- Owner: monarch-initiative
- License: other
- Created: 2017-12-07T09:14:11.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-01-16T20:48:59.000Z (almost 2 years ago)
- Last Synced: 2025-04-05T15:11:14.455Z (7 months ago)
- Topics: ehr, fhir, healthcare, hpo, loinc, monarchinitiative
- Language: Java
- Homepage: http://loinc2hpo.readthedocs.io/en/latest/
- Size: 11.3 MB
- Stars: 31
- Watchers: 6
- Forks: 8
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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# loinc2hpo
A Java library to map tests results from [LOINC](https://loinc.org/) codes to
[Human Phenotype Ontology.](https://hpo.jax.org/app/) terms.
For details, please see [Zhang et al. (2012)](https://pubmed.ncbi.nlm.nih.gov/31119199/) Semantic integration of clinical laboratory tests from electronic
health records for deep phenotyping and biomarker discovery. *NPJ Digit Med*. 2019;2:32.
## LOINC2HPO annotation
The LOINC to HPO mapping file is available at the
[loinc2hpoAnnotation](https://github.com/TheJacksonLaboratory/loinc2hpoAnnotation) repository.
## Using loinc2hpo
loinc2hpo is intended to be used as a software library. Selected functions are demonstrated in the CLI app.
## documentation
Please refer to http://loinc2hpo.readthedocs.io/en/latest/.
## spring framework app
We are developing a separate app that will specialize in one functionality of this app - converting FHIR observations into HPO terms. The new app will be coded with the Spring framework and we strive to achieve enterprise-level quality. Please refer to the app with the following link: https://github.com/OCTRI/fhir2hpo
## funding
We gratefully acknowledge funding by NCATS (CD2H project, A NATIONAL CENTER FOR DIGITAL HEALTH INFORMATICS INNOVATION), 1U24TR002306