| 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 | 517 | 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 | 309 | 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 | 53 | 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 | 44 | 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 | 38 | 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, KØ Mikalsen, U Maver, ... Computational and mathematical methods in medicine 2019 (1), 2059851, 2019 | 23 | 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 | 23 | 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 | 14 | 2022 |
| 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 | 12 | 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 | 10 | 2020 |
| 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 | 10 | 2018 |
| 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 | 9 | 2021 |
| Interpretability of machine learning‐based prediction models in healthcare. WIREs Data Mining Knowl Discov 10 G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar | 8 | 2020 |
| 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 | 7 | 2022 |
| 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 | 7 | 2020 |
| 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 | 6 | 2021 |
| 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 | 6 | 2019 |
| Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses N Fijačko, RM Creber, BS Abella, P Kocbek, Š Metličar, R Greif, G Štiglic Resuscitation Plus 18, 100584, 2024 | 5 | 2024 |
| 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 | 4 | 2019 |
| 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 | 4 | 2017 |
