Feb 18, 2020 · We introduce a method for similarity calculation of medical records. Our method employs event and sequence embeddings.
We introduce a method for similarity calculation of medical records. Our method employs event and sequence embeddings.
A visual analytics system called VERONICA that utilizes the natural classification of features in EHRs to identify the group of features with the strongest ...
Our method employs event and sequence embeddings. While we use an autoencoder for the event embedding, we apply its variant with the self-attention mechanism ...
We identify and explain the key dimensions of the EHR-based visual analytics design space, including visual analytics tasks, analytics, visualizations, and ...
Jul 23, 2021 · We further conducted a clustering analysis on stroke patients to evaluate and compare the embedding-based patient representations. The ...
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Comparative visual analytics for assessing medical records with sequence embedding · A Visual Analytics System for Multi-Model Comparison on Clinical Data ...
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In this paper, we present a study on MTS communication networks constructed with real-world cancer patients' Electronic Health Record (EHR) access logs.
Sep 28, 2020 · The objective of this study is to develop an interpretable and accurate risk prediction model as well as an interactive clinical prediction system.
Through a case study of a publicly available clinical dataset, we demonstrate the effectiveness of our visual analytics system to assist clinicians and ...