Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools-Reference-Cited by-同舟云学术

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Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Cazzolato Mirela T.¹,Gutierrez Marco Antonio¹,Traina Caetano¹,Faloutsos Christos²,Traina Agma J.M.¹

Affiliation:

1. Institute of Mathematics and Computer Science - University of São Paulo (ICMC-USP),São Carlos,Brazil

2. Carnegie Mellon University (CMU),Pittsburgh,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178818.pdf?arnumber=10178818

Reference17 articles.

1. Fully Automatic Cross-Associations

2. Anomaly Detection on Dynamic Bipartite Graph with Burstiness

3. A Recommendation Model for Medical Data Visualization Based on Information Entropy and Decision Tree Optimized by Two Correlation Coefficients

4. Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features

5. FAPESP COVID-19 Data Sharing/BR;FAPESP,2020

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1. A symptom-based community-weighted similarity approach for inpatient health condition monitoring;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

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