Description
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Models
1D Conditional CNN GAN
Recursive GAN (RGAN)
Recursive GAN (Generator) implementation with RNN cells.
Recursive Conditional GAN (RCGAN)
Recursive Conditional GAN (Generator) implementation with RNN cells
RNN Classifier
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
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}
}