Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42452, first published .
Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Journals

  1. Mahyoub M, Yadav R, Dougherty K, Shukla A. Development and validation of a machine learning model integrated with the clinical workflow for early detection of sepsis. Frontiers in Medicine 2023;10 View
  2. Cao K, Zhang T, Huang J. Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems. Scientific Reports 2024;14(1) View