FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation.

Geun-Hyeong Kim, Jae-Woo Kim, Ka Hyun Kim,Hyeran Kang,Jae Young Moon,Yoon Mi Shin,Seung Park

Computer Methods and Programs in Biomedicine（2023）

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摘要

•Tabular data can be converted into a graph structure for analysis.•We successfully converted features for predicting SBT success into the graph.•FT-GAT predicting SBT success achieved an AUROC of 0.8365.•FT-GAT outperforms conventional models and indicators for SBT success prediction.

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关键词

graph neural network,spontaneous breathing trial success,mechanical ventilation,ft-gat

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