Embedding, aligning and reconstructing clinical notes to explore sepsis.

ABSTRACT:

Objective

Our goal was to research and develop exploratory analysis tools for clinical notes, which now are underrepresented to limit the diversity of data insights on medically relevant applications.

Results

We characterize how exploratory analysis can affect representation learning on clinical narratives and present several self-developed tools to explore sepsis. Our experiments focus on patients with sepsis in the MIMIC-III Clinical Database or in our institution's research patient data repository. We found that global embeddings assist in learning local representations of clinical notes. Second, aligning at any specific time facilitates the use of learning models by pooling more available clinical notes to form a training set. Furthermore, reconstruction of the timeline

SUBMITTER: Zhu X 

PROVIDER: S-EPMC8048212 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature