Length-of-Stay prediction
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Benchmarks
MIMIC-III
Most implemented
Multitask learning and benchmarking with clinical time series data
Interpretable machine learning for time-to-event prediction in medicine and healthcare
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
MIMIC-III, a freely accessible critical care database
Papers
Challenges in Explaining Pretrained Clinical Text Classifiers
Explaining the predictions of neural models in clinical NLP remains a significant challenge, especially for complex tasks involving long, unstructured medical texts. While post-hoc methods like LIME and SHAP are widely u…
Length-of-Stay predictionEquitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning
People with learning disabilities have a higher mortality rate and premature deaths compared to the general public, as reported in published research in the UK and other countries. This study analyses hospitalisations of…
Length-of-Stay predictionMulti-Source Conformal Inference Under Distribution Shift
Recent years have experienced increasing utilization of complex machine learning models across multiple sources of data to inform more generalizable decision-making. However, distribution shifts across data sources and p…
Decision MakingLength-of-Stay predictionPrediction IntervalsUncertainty Quantification+1Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
This paper uses the MIMIC-IV dataset to examine the fairness and bias in an XGBoost binary classification model predicting the Intensive Care Unit (ICU) length of stay (LOS). Highlighting the critical role of the ICU in …
Binary ClassificationFairnessLength-of-Stay predictionOn Preserving the Knowledge of Long Clinical Texts
Clinical texts, such as admission notes, discharge summaries, and progress notes, contain rich and valuable information that can be used for clinical decision making. However, a severe bottleneck in using transformer enc…
Decision MakingEnsemble LearningLength-of-Stay predictionMortality Prediction+1Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may help guide clinical decision making and resource allocation. In this study we aim to build a decision support system that pr…
Decision MakingDiagnosticfeature selectionLength-of-Stay prediction