Papers with Intensive Care Unit

2 papers
Predicting ICU Length of Stay for Patients using Latent Categorization of Health Conditions (2025.naacl-industry)

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Challenge: Traditional approaches to predicting the duration of a patient's stay in an Intensive Care Unit (ICU) rely on structured clinical data, but recent advances in language models offer significant potential to utilize unstructured text data for ICU length-of-stay (LoS) predictions.
Approach: They propose a method for analyzing nursing notes to predict ICU length-of-stay of patients.
Outcome: The proposed model outperforms baseline models on the MIMIC-III dataset and shows that it significantly outperformed existing models.
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients (2020.lrec-1)

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Challenge: Currently, most medical data is generated and stored in unstructured, text-based format.
Approach: They propose to use a patient phenotyping dataset to identify whether a given medical condition is present in their notes.
Outcome: The proposed dataset contains 1102 Discharge Summaries and 1000 Nursing Progress Notes.

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