Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.

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作者： Yuanda,Zhu ^[1] ; Janani,Venugopalan ^[2] ; Zhenyu,Zhang ^[3] ; Nikhil K,Chanani ^[4] ; Kevin O,Maher ^[5] ; May D,Wang ^[5]

作者单位： School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States. ^[1] Biomedical Engineering Department, Georgia Institute of Technology, Emory University, Atlanta, GA, United States. ^[2] Biomedical Engineering Department, Georgia Institute of Technology, Atlanta, GA, United States. ^[3] Department of Biomedical Engineering, Peking University, Beijing, China. ^[4] Pediatrics Department, Emory University, Atlanta, GA, United States. ^[5]

关键词 clinical decision support convolutional autoencoder domain adaptation (DA)gradient boosting intensive care units mortality prediction

DOI 10.3389/frai.2022.640926

PMID 35481281

发布时间 2022-07-16

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Frontiers in artificial intelligence

2022年5卷

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Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.

Frontiers in artificial intelligence

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Frontiers in artificial intelligence

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Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.

Frontiers in artificial intelligence

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Frontiers in artificial intelligence

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