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Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit
Research article (Computers in Biology and Medicine, 2023) · cited 17× · AI/ML
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit
Summary
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit is a scholarly article[1].
Key Facts
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-mixed-integer-temporal-modeling-by-generating-synthetic-data-using-conditional-generative-adversarial-networks
MLA“Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-mixed-integer-temporal-modeling-by-generating-synthetic-data-using-conditional-generative-adversarial-networks.
BibTeX@misc{4ortxyz_improving-mixed-integer-temporal-modeling-by-generating-synthetic-data-using-conditional-generative-adversarial-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit}}, year = {2026}, url = {https://4ort.xyz/entity/improving-mixed-integer-temporal-modeling-by-generating-synthetic-data-using-conditional-generative-adversarial-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit — https://4ort.xyz/entity/improving-mixed-integer-temporal-modeling-by-generating-synthetic-data-using-conditional-generative-adversarial-networks (retrieved 2026-05-24)
