Irena Koprinska

Sydney, NSW, Australia

Last Updated: 09/26/2026

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Found 10 publications

Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning Analysis.

Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning Analysis.

Journal: Emergency medicine Australasia : EMA

Published: May 06, 2026

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.

Journal: Emergency medicine Australasia : EMA

Published: March 04, 2026

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine Learning.

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine Learning.

Journal: Emergency medicine Australasia : EMA

Published: November 20, 2025

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study.

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study.

Journal: Nutrients

Published: August 18, 2022

TrackSOM: Mapping immune response dynamics through clustering of time-course cytometry data.

TrackSOM: Mapping immune response dynamics through clustering of time-course cytometry data.

Journal: Cytometry. Part A : the journal of the International Society for Analytical Cytology

Published: March 25, 2022

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study.

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study.

Journal: Nutrients

Published: April 09, 2021

Using single-cell cytometry to illustrate integrated multi-perspective evaluation of clustering algorithms using Pareto fronts.

Using single-cell cytometry to illustrate integrated multi-perspective evaluation of clustering algorithms using Pareto fronts.

Journal: Bioinformatics (Oxford, England)

Published: September 11, 2020

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Journal: Emergency medicine Australasia : EMA

Published: July 29, 2018

Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study.

Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study.

Journal: JMIR research protocols

Published: September 25, 2017

Automated Classification of Clinical Incident Types.

Automated Classification of Clinical Incident Types.

Journal: Studies in health technology and informatics

Published: July 27, 2015

Showing 1-10 of 10

Last Updated: 09/26/2026