Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. - Nino Fijacko; Petra Povalej Brzan; Gregor Stiglic (J. Medical Syst., 2015)

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)

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)

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 (MIE, 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)

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)

Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. - Gregor Stiglic; Kasandra Musovic; Lucija Gosak; Nino Fijacko; Primoz Kocbek (ICHI, 2022)

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., 2023)