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
            Apr 17, 2025 
- 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?
predict length of stay in a hospital - 1 Day Project
Predicting patient Length of Stay (LoS) using machine learning to provide insights for hospital operational efficiency.
This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF
predicts length-of-stay of hospital inpatients
Im Datensatz "AKTIN – Daten zur Aufenthaltsdauer in Notaufnahmen“ werden aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister bereitgestellt. Anhand der Aufenthaltsdauer kann die Belastungssituation von Notaufnahmen abgeschätzt werden. Dies ermöglicht eine kontinuierliche und tran...
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