Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers

Paria Amiri, Hamid Abbasi, Amin Derakhshan, Behdad Gharib, Behrang Nooralishahi, Mohamadreza Mirzaaghayan. Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers. In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020. pages 5627-5630, IEEE, 2020. [doi]

@inproceedings{AmiriADGNM20a,
  title = {Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers},
  author = {Paria Amiri and Hamid Abbasi and Amin Derakhshan and Behdad Gharib and Behrang Nooralishahi and Mohamadreza Mirzaaghayan},
  year = {2020},
  doi = {10.1109/EMBC44109.2020.9175481},
  url = {https://doi.org/10.1109/EMBC44109.2020.9175481},
  researchr = {https://researchr.org/publication/AmiriADGNM20a},
  cites = {0},
  citedby = {0},
  pages = {5627-5630},
  booktitle = {42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-1990-8},
}