Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods

Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods

ObjectiveBased on the respiratory disease big data platform in southern Xinjiang, we established a model that predicted and diagnosed chronic obstructive pulmonary disease, bronchiectasis, pulmonary embolism and pulmonary tuberculosis, and provided assistance for primary physicians.MethodsThe method...

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Bibliographic Details
Main Authors: Li Li, Alimu Ayiguli, Qiyun Luan, Boyi Yang, Yilamujiang Subinuer, Hui Gong, Abudureherman Zulipikaer, Jingran Xu, Xuemei Zhong, Jiangtao Ren, Xiaoguang Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Public Health
Subjects:
respiratory disease
convolutional neural network
long-short-term memory network
predictive diagnosis
medical records
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.881234/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.881234/full

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