A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43430-3_32
Reference21 articles.
1. Allyn, J., et al.: A comparison of a machine learning model with euroscore ii in predicting mortality after elective cardiac surgery: a decision curve analysis. PLoS ONE 12 (2017). https://doi.org/10.1371/journal.pone.0169772
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4. Caruso, E., Zadra, A.R.: The trade-off between costs and outcome after cardiac surgery. Evidence from an Italian administrative registry. Health Policy 124(12), 1345–1353 (2020). https://doi.org/10.1016/j.healthpol.2020.09.005
5. Django Software Foundation: Django. https://djangoproject.com
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