This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
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Updated
Jul 6, 2023 - Python
This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
PyTorch library for MIMIC III Benchmark experiments
Can we predict how long a patient will be in a hospital with a fair comparison on gender, race and health service areas?
predicts length-of-stay of hospital inpatients
This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF
predict length of stay in a hospital - 1 Day Project
Die Belastung von Notaufnahmen hängt von verschiedenen Faktoren ab, wie z.B. der Anzahl der Patienti:innen, der Schwere ihrer Fälle, der Personalsituation und der Kapazität der Intensivbetten. Die durchschnittliche Aufenthaltsdauer in der Notaufnahme kann als Indikator für die Belastungssituation herangezogen werden. Der Datensatz „AKTIN - Daten...
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