no code implementations • 30 Nov 2021 • Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.
1 code implementation • 11 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.
1 code implementation • 6 Nov 2020 • Emma Rocheteau, Doyoon Kim
Melanoma is not the most common form of skin cancer, but it is the most deadly.
1 code implementation • 18 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.
1 code implementation • 29 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.