Article

MedZone Embedder: a framework for representation learning of Japanese secondary medical care areas from a national ICU registry, characterizing intensive care provision structure and regional vulnerability

2026-07-20

Abstract excerpt

<h4>Background</h4> In Japan, acute inpatient care is divided into approximately 335 secondary medical care areas, which serve as the basic units for planning healthcare delivery systems under the 8th National Health Care Plan. While comparisons between regions and facilities typically rely on a single risk-adjusted metric, this approach confuses differences in patient demographics with differences in the actual...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ba815dda-ac9c-57e4-8033-e05ae23f92b7
DOI: 10.64898/2026.07.17.26358373

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MedZone Embedder: a framework for representation learning of Japanese secondary medical care areas from a national ICU registry, characterizing intensive care provision structure and regional vulnerabilityDOI 10.64898/2026.07.17.26358373Read

Unsupervised Cluster-Augmented Mortality Prediction in MIMIC-IV Using Tabular ICU Time-Series Aggregation and Gradient Boosted LearningSemantic proximity Read

A Stacking-Based Classification Method to Predict ICU Admission in Hospitalized COVID-19 PatientsSemantic proximity Read

A Foundation Model for Intensive Care: Unlocking Generalization across Tasks and Domains at ScaleSemantic proximity Read

Development of a Transformer-Based Cardiac Arrest Prediction Model for General Ward PatientsSemantic proximity Read

Evaluating Deep Learning Sepsis Prediction Models in ICUs Under Distribution Shift: A Multi-Centre Retrospective Cohort StudySemantic proximity Read

Deep Learning with Diverse Objectives Improves ARDS PredictionSemantic proximity Read

A Multicenter Validation Study of the Deep Learning-based Early Warning Score for Predicting in-hospital Cardiac Arrest in Patients Admitted to General WardsSemantic proximity Read

Development and validation of a multivariable predictive model for Emergency Department Overcrowding based on the National Emergency Department Overcrowding Study (NEDOCS) scoreSemantic proximity Read

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Semantic proximity Read

Death Comes But Why: A Multi-Task Memory-Fused Prediction for Accurate and Explainable Illness Severity in ICUsSemantic proximity Read

ICU Mortality and LOS Prediction Models Using Machine Learning Based on Both Real and Synthetic DataSemantic proximity Read

Deep embedded clustering generalisability and adaptation for mixed datatypes: two critical care cohortsSemantic proximity Read