Search Results for author: Emma Rocheteau

Found 5 papers, 4 papers with code

Predicting Patient Outcomes with Graph Representation Learning

1 code implementation11 Jan 2021 Emma Rocheteau, Catherine Tong, Petar Veličković, Nicholas Lane, Pietro Liò

Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications.

Graph Representation Learning Length-of-Stay prediction +2

Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit

1 code implementation18 Jul 2020 Emma Rocheteau, Pietro Liò, Stephanie Hyland

In this work, we propose a new deep learning model based on the combination of temporal convolution and pointwise (1x1) convolution, to solve the length of stay prediction task on the eICU and MIMIC-IV critical care datasets.

Management Mortality Prediction +2

Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks

1 code implementation29 Jun 2020 Emma Rocheteau, Pietro Liò, Stephanie Hyland

The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff.

Length-of-Stay prediction Management

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