Cargando…
An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach
BACKGROUND: For the intensivists, accurate assessment of the ideal timing for successful weaning from the mechanical ventilation (MV) in the intensive care unit (ICU) is very challenging. PURPOSE: Using artificial intelligence (AI) approach to build two-stage predictive models, namely, the try-weani...
Autores principales: | Liu, Chung-Feng, Hung, Chao-Ming, Ko, Shian-Chin, Cheng, Kuo-Chen, Chao, Chien-Ming, Sung, Mei-I, Hsing, Shu-Chen, Wang, Jhi-Joung, Chen, Chia-Jung, Lai, Chih-Cheng, Chen, Chin-Ming, Chiu, Chong-Chi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715756/ https://www.ncbi.nlm.nih.gov/pubmed/36465940 http://dx.doi.org/10.3389/fmed.2022.935366 |
Ejemplares similares
-
Predicting weaning difficulty for planned extubation patients with an artificial neural network
por: Hsieh, Meng Hsuen, et al.
Publicado: (2019) -
Development of an Interactive AI System for the Optimal Timing Prediction of Successful Weaning from Mechanical Ventilation for Patients in Respiratory Care Centers
por: Liao, Kuang-Ming, et al.
Publicado: (2022) -
A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery
por: Chang, Ying-Jen, et al.
Publicado: (2021) -
Prolonged Mechanical Ventilation Assistance Interacts Synergistically with Carbapenem for Clostridium difficile Infection in Critically Ill Patients
por: Chiang, Shyh-Ren, et al.
Publicado: (2018) -
The association between depression and length of stay in the intensive care unit
por: Liao, Kuang-Ming, et al.
Publicado: (2020)