Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care

作者：

Highlights：

• Effective postoperative care requires the synthesis of multiple data modalities.

• Advanced techniques can extract complex patterns from physiological signals.

• Tensor-based methods reduce model inputs while maintaining/increasing performance.

• A multimodal approach can predict hemodynamic decompensation several hours in advance.

摘要

•Effective postoperative care requires the synthesis of multiple data modalities.•Advanced techniques can extract complex patterns from physiological signals.•Tensor-based methods reduce model inputs while maintaining/increasing performance.•A multimodal approach can predict hemodynamic decompensation several hours in advance.

论文关键词：Hemodynamic decompensation,Postoperative care,Tensor methods,Multimodal analysis

论文评审过程：Received 5 February 2020, Revised 6 January 2021, Accepted 8 February 2021, Available online 11 February 2021, Version of Record 20 February 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102032