Research on clinical auxiliary diagnosis decision support system based on computer technology

Qinghai Liu; Yijun Tang; Nana Hou

doi:10.1117/12.3044367

27 August 2024 Research on clinical auxiliary diagnosis decision support system based on computer technology

Qinghai Liu, Yijun Tang, Nana Hou

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 1325221 (2024) https://doi.org/10.1117/12.3044367
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

With the advancement of computer technology and artificial intelligence, the significance of clinical decision support systems in the medical field has escalated. These systems, leveraging deep mining of multimodal data and feature fusion, furnish clinicians with precise diagnostic insights, significantly augmenting diagnostic efficiency and accuracy. This study, centered on multimodal inference, has crafted an intelligent diagnostic decision model, validated its efficacy through experimentation. It delves into the critical facets of technology adoption and application, drawing from rational behavior theory, planned behavior theory, and the technology acceptance model. Additionally, a meticulous analysis of multimodal fusion methods geared towards features, decisions, and processes has been conducted, laying a robust foundation for future investigations. The experimental segment has subjected algorithmic performance to comprehensive testing and assessment, revealing the pronounced advantage of multimodal fusion methods in enhancing diagnostic decision accuracy. This research proffers novel avenues and methodologies to propel the advancement of intelligent healthcare.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qinghai Liu, Yijun Tang, and Nana Hou "Research on clinical auxiliary diagnosis decision support system based on computer technology", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 1325221 (27 August 2024); https://doi.org/10.1117/12.3044367

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