The impact of extraneous features on the performance of recurrent neural network models in clinical tasks

Research article (Journal of Biomedical Informatics, 2019) · cited 17× · AI/ML
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The impact of extraneous features on the performance of recurrent neural network models in clinical tasks

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The impact of extraneous features on the performance of recurrent neural network models in clinical tasks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-impact-of-extraneous-features-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks
MLA “The impact of extraneous features on the performance of recurrent neural network models in clinical tasks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-impact-of-extraneous-features-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks.
BibTeX @misc{4ortxyz_the-impact-of-extraneous-features-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The impact of extraneous features on the performance of recurrent neural network models in clinical tasks}}, year = {2026}, url = {https://4ort.xyz/entity/the-impact-of-extraneous-features-on-the-performance-of-recurrent-neural-network-models-in-clinical-tasks}, note = {Accessed: 2026-05-24}}
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