In this study, we aim to develop a scalable and generalizable machine learning tool to facilitate standardizing laboratory observations to the Logical ...
In this work, we aim to develop a scalable machine learning tool to automate the map- ping from local source codes to target LOINC codes. In particular, we ...
In this study, we aim to develop a scalable and generalizable machine learning tool to facilitate standardizing laboratory observations to the Logical ...
Automated LOINC Standardization Using Pre-trained Large Language Models · Tao ... 2022. TLDR. This study uses the contextual embedding from pre-trained T5 models ...
Nov 13, 2022 · Motivation Mapping internal, locally used lab test codes to standardized logical observation identifiers names and codes (LOINC) terminology ...
A multi-part matching strategy for mapping LOINC with laboratory terminologies. · Automated LOINC Standardization Using Pre-trained Large Language Models · A ...
People also search for
Automated LOINC Standardization Using Pre-trained Large Language Models. record by Adam D Lelkes • Automated LOINC Standardization Using Pre-trained Large ...
Automated LOINC Standardization Using Pre-trained Large Language Models · Tao Tu. Eric Loreaux. Emma Chesley. Adam Daniel Lelkes. Paul Gamble. Mathias Bellaiche.
Automated LOINC Standardization Using Pre-trained Large Language Models. T Tu ... Instability in clinical risk stratification models using deep learning.
... LOINC standard using a combination of an automated mapping tool and manual mapping. ... Automated LOINC standardization using pre-Trained large language models.