FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices

Mahbub Ul Alam 0001, Rahim Rahmani. FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices. Sensors, 23(2):970, January 2023. [doi]

@article{AlamR23,
  title = {FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices},
  author = {Mahbub Ul Alam 0001 and Rahim Rahmani},
  year = {2023},
  month = {January},
  doi = {10.3390/s23020970},
  url = {https://doi.org/10.3390/s23020970},
  researchr = {https://researchr.org/publication/AlamR23},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {23},
  number = {2},
  pages = {970},
}