Distributed computing and artificial intelligence-based clinical decision support system for adverse pregnancy outcomes

Weibin Luo; Yichao Zhang; Zhenming Yuan

doi:10.1117/12.2687470

28 August 2023 Distributed computing and artificial intelligence-based clinical decision support system for adverse pregnancy outcomes

Weibin Luo, Yichao Zhang, Zhenming Yuan

Author Affiliations +

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127240F (2023) https://doi.org/10.1117/12.2687470
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

The lack of medical resources per capita in China has led to many difficulties in the early prevention and control of diseases. In order to improve the effectiveness of early diagnosis of adverse pregnancy outcomes, improve the efficiency of medical services, this paper designs and implements a clinical decision support system for adverse pregnancy outcomes based on distributed computing and artificial intelligence technology. Visual workflow orchestration simplifies the process of collecting personalized clinical data by healthcare professionals; Distributed computing greatly improves the efficiency of clinical data extraction; The use of artificial intelligence models for early risk assessment and causal analysis of adverse pregnancy outcomes has achieved better results.

Citation Download Citation

Weibin Luo, Yichao Zhang, and Zhenming Yuan "Distributed computing and artificial intelligence-based clinical decision support system for adverse pregnancy outcomes", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127240F (28 August 2023); https://doi.org/10.1117/12.2687470

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