Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis

no code implementations • 28 Mar 2022 • Yuqing Wang, Yun Zhao, Rachael Callcut, Linda Petzold

In this paper, we propose a multimodal Transformer model for early sepsis prediction, using the physiological time series data and clinical notes for each patient within $36$ hours of ICU admission.

Time Series Time Series Analysis

Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks

no code implementations • 22 Jun 2021 • Xinlu Zhang, Yun Zhao, Rachael Callcut, Linda Petzold

Multiple organ failure (MOF) is a severe syndrome with a high mortality rate among Intensive Care Unit (ICU) patients.

Imputation

Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients

no code implementations • 19 Mar 2021 • Yuqing Wang, Yun Zhao, Rachael Callcut, Linda Petzold

However, blindly pursuing complex classifiers is unwise as it also brings the risk of greater performance variation.

BIG-bench Machine Learning feature selection