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Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance

Research article (International Journal of Neural Systems, 2021) · cited 20× · AI/ML
academia openalex:W4200019852
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Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance

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Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance is a scholarly article[1].

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  • Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-multimodal-neural-network-based-on-data-feature-fusion-for-patient-specific-quality-assurance
MLA “Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-multimodal-neural-network-based-on-data-feature-fusion-for-patient-specific-quality-assurance.
BibTeX @misc{4ortxyz_deep-multimodal-neural-network-based-on-data-feature-fusion-for-patient-specific-quality-assurance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance}}, year = {2026}, url = {https://4ort.xyz/entity/deep-multimodal-neural-network-based-on-data-feature-fusion-for-patient-specific-quality-assurance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance — https://4ort.xyz/entity/deep-multimodal-neural-network-based-on-data-feature-fusion-for-patient-specific-quality-assurance (retrieved 2026-05-24)

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