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?
A Multimodal Deep Learning framework for early ICU outcome prediction (Length of Stay and Mortality) on MIMIC-III. Features bi-LSTM vital-sign encoding, an MLP for clinical + lab data, 8-head Cross-Modal Attention Fusion, Platt temperature scaling calibration, and an interactive Streamlit clinical decision support dashboard.
Early longer-stay risk for the renal cohort — a leakage-audited, calibrated, externally-validated clinical-ML case study (dbt + DuckDB + scikit-learn, MIMIC-IV + eICU).
ICU LOS prediction for pneumonia patients using MIMIC-III time-series data & interpretable ML
Healthcare operations analytics case study: length-of-stay drivers and bed-day resource utilization across 100K hospital encounters. Python + Streamlit.
predicts length-of-stay of hospital inpatients
Predicting patient Length of Stay (LoS) using machine learning to provide insights for hospital operational efficiency.
Interpretable hospital length-of-stay risk prediction for data-driven bed planning and discharge coordination.
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
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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