Trustworthy Explanations for Knowledge Discovered from E-Health Records
Author:
Affiliation:
1. University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada
Funder
University of Manitoba
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9982624/9982728/09982786.pdf?arnumber=9982786
Reference58 articles.
1. A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images
2. Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19
3. Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria
4. Big Data Intelligence Solution for Health Analytics of COVID-19 Data with Spatial Hierarchy
5. Deep Learning Based Multi-Label Prediction of Hospitalization for COVID-19 Cases
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2. Data Analytics and Prediction of Long COVID Cases with Fuzzy Logic;2023 IEEE International Conference on Fuzzy Systems (FUZZ);2023-08-13
3. Mining Big Healthcare Data to Predict Long COVID Cases;2023 IEEE International Conference on Industrial Technology (ICIT);2023-04-04
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