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February 17, 2020JAMAOpen Access

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery

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Authors

MWMarije WijnbergeCentre for the Study of the Economies of AfricaBGBart F. GeertsDepartment of HealthLHLiselotte HolApple (Israel)

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Wijnberge et al. (2020) studied this question.

synapsesocial.com/papers/69effb46afa91c76b5d0a7e4https://doi.org/10.1001/jama.2020.0592
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery2016 · 1,136 citations
  2. 2Intraoperative Hypotension and 1-Year Mortality after Noncardiac Surgery2009 · 361 citations
  3. 3The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial2019 · 25 citations
  4. 4Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis2018 · 634 citations
  5. 5Classification of Surgical Complications2004 · 31,634 citations