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Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2019) · cited 19× · AI/ML
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Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization

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Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-phenotypes-and-dynamic-patient-representations-via-rnn-regularized-collective-non-negative-tensor-factorization
MLA “Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-phenotypes-and-dynamic-patient-representations-via-rnn-regularized-collective-non-negative-tensor-factorization.
BibTeX @misc{4ortxyz_learning-phenotypes-and-dynamic-patient-representations-via-rnn-regularized-collective-non-negative-tensor-factorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization}}, year = {2026}, url = {https://4ort.xyz/entity/learning-phenotypes-and-dynamic-patient-representations-via-rnn-regularized-collective-non-negative-tensor-factorization}, note = {Accessed: 2026-05-24}}
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