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

OBJECTIVE: Based 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. METHODS: The m...

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Detalles Bibliográficos
Autores principales: Li, Li, Ayiguli, Alimu, Luan, Qiyun, Yang, Boyi, Subinuer, Yilamujiang, Gong, Hui, Zulipikaer, Abudureherman, Xu, Jingran, Zhong, Xuemei, Ren, Jiangtao, Zou, Xiaoguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114643/
https://www.ncbi.nlm.nih.gov/pubmed/35602136
http://dx.doi.org/10.3389/fpubh.2022.881234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114643/
https://www.ncbi.nlm.nih.gov/pubmed/35602136
http://dx.doi.org/10.3389/fpubh.2022.881234

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