Nino Fijacko

According to our database, Nino Fijacko authored at least 10 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enhancing virtual reality applications for adult basic life support: insights from a comparative analysis.

Nino Fijacko, Benjamin S. Abella, Vinay M. Nadkarni, Spela Metlicar, Anne-Astrid Agten, Robert Greif

Virtual Real., March, 2026

2025

Do Nursing Students Write More Polite Health Related Prompts in Chatbots Compared to Engineering Students?

Nino Fijacko, Adrijana Svensek, Lucija Gosak, Brigitte Fong Yeong Woo, Jiyoun Song, Stefan Kohek, Gregor Stiglic

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2023

Development of a Low-Cost Smartphone Do-it-yourself Training Tool for Teaching How to Use an Automated External Defibrillator.

Nino Fijacko, Ruth Masterson Creber, Robert Greif

J. Medical Syst., December, 2023

2022

Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare.

Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

A Review of Mortality Risk Prediction Models in Smartphone Applications.

Nino Fijacko, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic

J. Medical Syst., 2021

2020

Interpretability of machine learning-based prediction models in healthcare.

Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar

WIREs Data Mining Knowl. Discov., 2020

Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records.

Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care.

Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Aziz Sheikh, Majda Pajnkihar

Health Informatics J., 2019

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.

Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic

Comput. Math. Methods Medicine, 2019

2015

Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review.

Nino Fijacko, Petra Povalej Brzan, Gregor Stiglic

J. Medical Syst., 2015