Primoz Kocbek
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Interpretability of machine learning‐based prediction models in healthcare
G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (5 …, 2020
Early detection of type 2 diabetes mellitus using machine learning-based prediction models
L Kopitar, P Kocbek, L Cilar, A Sheikh, G Stiglic
Scientific reports 10 (1), 11981, 2020
Local vs. global interpretability of machine learning models in type 2 diabetes mellitus screening
L Kopitar, L Cilar, P Kocbek, G Stiglic
International Workshop on Knowledge Representation for Health Care, 108-119, 2019
An international cross-cultural study of nursing students' perceptions of caring
M Pajnkihar, P Kocbek, K Musović, Y Tao, N Kasimovskaya, G Štiglic, ...
Nurse Education Today 84, 104214, 2020
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
G Stiglic, P Kocbek, N Fijacko, A Sheikh, M Pajnkihar
Health informatics journal 25 (3), 951-959, 2019
Maximizing Interpretability and Cost‐Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature‐Specific Regularized Logistic Regression on Preoperative …
P Kocbek, N Fijacko, C Soguero-Ruiz, KŲ Mikalsen, U Maver, ...
Computational and mathematical methods in medicine 2019 (1), 2059851, 2019
Development of a screening tool using electronic health records for undiagnosed Type 2 diabetes mellitus and impaired fasting glucose detection in the Slovenian population
G Štiglic, P Kocbek, L Cilar, N Fijačko, A Stožer, J Zaletel, A Sheikh, ...
Diabetic Medicine 35 (5), 640-649, 2018
Nutritional quality of beverages available in vending machines in health and social care institutions: do we really want such offers?
U Rozman, NF Mis, UP Kupirovič, I Pravst, P Kocbek, M Strauss, SŠ Turk
Journal of Health, Population and Nutrition 40, 1-8, 2021
Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records
S Kocbek, P Kocbek, A Stozer, T Zupanic, T Groza, G Stiglic
PeerJ 6, e5765, 2018
The antimicrobial effect of various single-strain and multi-strain probiotics, dietary supplements or other beneficial microbes against common clinical wound pathogens
S Fijan, P Kocbek, A Steyer, PM Vodičar, M Strauss
Microorganisms 10 (12), 2518, 2022
A review of mortality risk prediction models in smartphone applications
N Fijačko, R Masterson Creber, L Gosak, P Kocbek, L Cilar, P Creber, ...
Journal of Medical Systems 45, 1-13, 2021
Interpretability of machine learning-based prediction models in healthcare. WIREs Data Mining and Knowledge Discovery, 10 (5), e1379
G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar
Extracting new temporal features to improve the interpretability of undiagnosed type 2 diabetes mellitus prediction models
S Kocbek, P Kocbek, L Gosak, N Fijačko, G Štiglic
Journal of Personalized Medicine 12 (3), 368, 2022
Interpretability of machine learning based prediction models in healthcare. arXiv 2020
G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar
arXiv preprint arXiv:2002.08596, 2019
Public sentiment analysis of Twitter reaction on sudden cardiac arrest at EURO 2020
N Fijačko, RM Creber, G Štiglic, P Kocbek, P Skok, R Greif
Resuscitation 167, 427-429, 2021
Sweet, fat and salty: snacks in vending machines in health and social care institutions in Slovenia
U Rozman, I Pravst, UP Kupirovič, U Blaznik, P Kocbek, SŠ Turk
International Journal of Environmental Research and Public Health 17 (19), 7059, 2020
Improving mortality prediction for intensive care unit patients using text mining techniques
P Kocbek, N Fijacko, M Zorman, S Kocbek, G Štiglic
Proceedings of SiKDD 2017 Conference on Data Mining and Data Warehouses 29 …, 2017
Using (automated) machine learning and drug prescription records to predict mortality and polypharmacy in older type 2 diabetes mellitus patients
S Kocbek, P Kocbek, T Zupanic, G Stiglic, B Gabrys
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
Evolution of ChatGPT evaluations in healthcare: Still at the beginning?
P Kocbek, N Fijačko, G Štiglic
Resuscitation 193, 110042, 2023
Content Analysis of Twitter Users' Responses to the Crowd Crush Tragedy in Seoul, South Korea in October 2022.
N Fijačko, JP Nolan, G Štiglic, P Kocbek, R Greif
Resuscitation 182, 109658, 2023
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