The Loinc Table Core
-
Updated
Aug 10, 2022 - Python
The Loinc Table Core
Prototypes for LOINC code predictions and imputations. Key ideas: string/text similarity metric learning, document embeddings, contrastive loss and Siamese network, classification algorithms (e.g. logistic regression, random forest), EDA via dimensionality reduction (e.g. t-SNE, PCA).
REST service that converts LOINC codes and UCUM units to a standardized representation
Add a description, image, and links to the loinc-codes topic page so that developers can more easily learn about it.
To associate your repository with the loinc-codes topic, visit your repo's landing page and select "manage topics."