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COMPUTER APPLICATION SOFTWARE AND AIRWAY MANAGEMENT DATA SYSTEM FOR PREDICTION OF DIFFICULT AIRWAYS

机译:困难气道预测的计算机应用软件和气道管理数据系统

摘要

Disclosed is a computer application software and airway management data system for prediction of difficult airways, comprising: a medical personnel application module: and a central control module. Each of the medical personnel application module and the central control module comprises multiple units. The invention is advantageous in that: the software is designed on the basis of endogenous mechanisms contributing to difficult airways, such that prediction accuracy improved; only a few direct factors contributing to difficult airways are retained, such that a complicated multi-factor determination process is eliminated; computer graphics computation techniques are used to perform modeling and simulation, such that detection accuracy is high; artificial intelligence machine learning is conducted according to large sample difficult airway clinical data and difficult airway facial feature data to respectively establish a difficult airway artificial intelligence prediction model program and a difficult airway face recognition model program, such that prediction performance further improved; and core function model programming and a big data management function are employed, such that users can use same in corresponding clinical applications and scientific research work conveniently.
机译:本发明公开了一种用于预测困难气道的计算机应用软件和气道管理数据系统,包括:医务人员应用模块:和中央控制模块。每个医务人员应用模块和中央控制模块包括多个单元。本发明的优点在于:软件是在导致困难气道的内源性机制的基础上设计的,从而提高了预测精度;只保留了少数导致气道困难的直接因素,从而消除了复杂的多因素确定过程;采用计算机图形计算技术进行建模和仿真,检测精度高;根据大样本困难气道临床数据和困难气道面部特征数据进行人工智能机器学习,分别建立困难气道人工智能预测模型程序和困难气道人脸识别模型程序,使预测性能进一步提高;并采用核心功能模型编程和大数据管理功能,使用户可以方便地在相应的临床应用和科研工作中使用。

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