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Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
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README.md


Ward2ICU

Paper 3778 Research 3778 Research

Description

Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward

Models

1D Conditional CNN GAN

Source code

Table 3

Recursive GAN (RGAN)

Source code Paper

Recursive GAN (Generator) implementation with RNN cells.

Recursive Conditional GAN (RCGAN)

Source code Paper

Recursive Conditional GAN (Generator) implementation with RNN cells

RNN Classifier

Source code

A simple RNN for classification tasks. It consists of a recurrent layer (Elman RNN, LSTM or GRU) followed by 2 fully connected. The first shares parameters across the time domain (i.e. second tensor dimension), while the second collapses the time-domain to a single point with a Sigmoid activation.

1D-CNN Classifier

Source code

Single-dimension convolutional network for classification. Consists of a sequence of Conv1d followed by MaxPool1d and Linear with a Sigmoid output.

Citation

@article{severo2019ward2icu,
  title={Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward},
  author={Severo, Daniel and Amaro, Fl{\'a}vio and Hruschka Jr, Estevam R and Costa, Andr{\'e} Soares de Moura},
  journal={arXiv preprint arXiv:1910.00752},
  year={2019}
}
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