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

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

2 Oct 2019arXiv:1910.00752archive 2025-07-28

Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr, André Soares de Moura Costa

We present a proxy dataset of vital signs with class labels indicating patient transitions from the ward to intensive care units called Ward2ICU. Patient privacy is protected using a Wasserstein Generative Adversarial Network to implicitly learn an approximation of the data distribution, allowing us to sample synthetic data. The quality of data generation is assessed directly on the binary classification task by comparing specificity and sensitivity of an LSTM classifier on proxy and original datasets. We initialize a discussion of unintentionally disclosing commercial sensitive information and propose a solution for a special case through class label balancing

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3778/Ward2ICU officialmentioned in papermentioned on GitHubpytorch report
torchgan/torchgan mentioned on GitHubpytorch report

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Binary ClassificationPredicting Patient OutcomesSensitivitySpecificity

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Ward2ICU

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LSTMSigmoid ActivationTanh Activation

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