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An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data

Overview of attention for article published in Frontiers in Artificial Intelligence, May 2021
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4 X users

Citations

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39 Mendeley
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Title
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
Published in
Frontiers in Artificial Intelligence, May 2021
DOI 10.3389/frai.2021.610197
Pubmed ID
Authors

Thomas Linden, Johann De Jong, Chao Lu, Victor Kiri, Kathrin Haeffs, Holger Fröhlich

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Doctoral Student 4 10%
Student > Ph. D. Student 3 8%
Student > Master 2 5%
Other 2 5%
Other 3 8%
Unknown 18 46%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Computer Science 4 10%
Business, Management and Accounting 2 5%
Decision Sciences 1 3%
Mathematics 1 3%
Other 4 10%
Unknown 20 51%