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Found 5 papers, 4 papers with code
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff.
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
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.
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs
Melanoma is not the most common form of skin cancer, but it is the most deadly.
Predicting Patient Outcomes with Graph Representation Learning
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.
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.
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