Pulmonary infection is a common clinical respiratory tract infectious disease with a high incidence rate and a severe mortality rate as high as 30%–50%, which seriously threatens human life and health. Accurate and timely anti-infective treatment is the key to improving the cure rate. NGS technology provides a new, fast, and accurate method for pathogenic diagnosis, which can provide effective clues to the clinic, but determining the true pathogenic bacteria is a problem that needs to be solved urgently, and a comprehensive judgment must be made by the clinician combining the laboratory results, clinical information, and epidemiology. This paper intends to effectively collect and process the missing values of NGS data, clinical manifestations, laboratory test results, imaging test results, and other multimodal data of patients with infectious respiratory diseases. It also studies the deep feature fusion algorithm of multimodal data, couples the private and shared features of different modal data of infectious respiratory diseases, and digs into the hidden information of different modalities to obtain efficient and robust shared features that are conducive to auxiliary diagnosis. The establishment of an auxiliary diagnosis model for the infectious respiratory diseases can intelligentize and automate the diagnosis process of infectious respiratory, which has important significance and application value when applied to clinical practice.

中文翻译：

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基于多模式深度特征融合的传染性呼吸道疾病辅助诊断模型研究

肺部感染是一种常见的临床呼吸道传染病，其发病率高，严重的死亡率高达30％–50％，严重威胁着人类的生命和健康。准确及时的抗感染治疗是提高治愈率的关键。NGS技术提供了一种新的，快速而准确的病原诊断方法，可以为临床提供有效的线索，但是确定真正的病原细菌是一个亟待解决的问题，临床医生必须做出全面的判断结合实验室结果，临床信息和流行病学。本文旨在有效地收集和处理NGS数据，临床表现，实验室检查结果，影像学检查结果，和其他传染性呼吸道疾病患者的多峰数据。它还研究了多模式数据的深度特征融合算法，将传染性呼吸系统疾病的不同模式数据的私有特征和共享特征进行耦合，并挖掘了不同模式的隐藏信息，以获得有助于辅助诊断的高效，鲁棒的共享特征。建立传染性呼吸系统疾病的辅助诊断模型，可以使传染性呼吸系统的诊断过程智能化和自动化，在临床实践中具有重要的意义和应用价值。并挖掘不同形式的隐藏信息，以获得有助于辅助诊断的高效且鲁棒的共享特征。建立传染性呼吸系统疾病的辅助诊断模型，可以使传染性呼吸系统的诊断过程智能化和自动化，在临床实践中具有重要的意义和应用价值。并挖掘不同形式的隐藏信息，以获得有助于辅助诊断的高效且鲁棒的共享特征。建立传染性呼吸系统疾病的辅助诊断模型，可以使传染性呼吸系统的诊断过程智能化和自动化，在临床实践中具有重要的意义和应用价值。