在心胸外科手术中预测出院后的并发症:一个临床决策支持系统,以优化远程患者监测资源

Ricardo Santos1, Bruno Ribeiro2, Inês Sousa2

  • 1Associação Fraunhofer Portugal Research, Rua Alfredo Allen 455/461, 4200-135 Porto, Portugal; Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Physics Department, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.

概括

这项研究开发了一种机器学习模型,用于识别心脏手术患者,这些患者有高风险出现出院后的并发症. 这使得有针对性的远程患者监测,优化资源配置和改善患者的结果.