Using Gated Recurrent Unit Networks for the Prediction of Hemodynamic and Pulmonary Decompensation-Reference-Cited by-同舟云学术

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Using Gated Recurrent Unit Networks for the Prediction of Hemodynamic and Pulmonary Decompensation

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Mandel Christian¹,Stich Kathrin²,Autexier Serge¹,Luth Christoph¹,Ziehn Ariane³,Hochbaum Karin²,Dembinski Rolf²,Int-Veen Christoph⁴

Affiliation:

1. German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359

2. Gesundheit Nord gGmbH,Bremen,Germany,28211

3. German Research Center for Artificial Intelligence,Research Department Intelligente Analytik für Messdaten,Berlin,Germany,10559

4. Philips GmbH Market DACH,Hamburg,Germany,22335

Funder

German Federal Ministry for Economic Affairs and Climate Action (BMWi)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871500.pdf?arnumber=9871500

Reference18 articles.

1. Simplified Therapeutic Intervention Scoring System

2. SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission

3. Time series classification by class-specific Mahalanobis distance measures

4. Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition

5. ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS

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