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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
892020
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), 1-12, 2020
632020
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
242019
Local vs. global interpretability of machine learning models in type 2 diabetes mellitus screening
L Kopitar, L Cilar, P Kocbek, G Stiglic
Artificial intelligence in medicine: Knowledge representation and …, 2019
192019
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
152020
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, 2019
132019
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
122018
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
102018
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
42020
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), 1-8, 2021
32021
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
32017
Local interpretability of calibrated prediction models: A case of type 2 diabetes mellitus screening test
S Kocbek, P Kocbek, L Cilar, G Stiglic
arXiv preprint arXiv:2006.13815, 2020
12020
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
International Conference on Neural Information Processing, 624-632, 2019
12019
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
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 (12), 1-13, 2021
2021
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
2021
National and regional hospitalization rates for allergic disorders in the United States: A 17‐year time‐trend analysis
P Kocbek, N Fijacko, G Hrovat, BI Nwaru, P Wickner, A Sheikh, G Stiglic
Allergy 75 (5), 1243-1247, 2020
2020
Background: The objective of this study was to use machine learning algorithms to construct predictive models for atrial fibrillation (AF) in elderly patients with coronary …
P Kocbek, J Tian, Q Xu, Y Peng, J Tan, W Zhao, M Yang
Senior Program Committee Members
C Mao, G Stiglic, H Xu, J Facelli, K Roberts, N Smalheiser, S Pakhomov, ...
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Articles 1–19