Gregor Stiglic
Gregor Stiglic
Associate Professor, University of Maribor, Faculty of Health Science
Verified email at - Homepage
Cited by
Cited by
Comprehensive decision tree models in bioinformatics
G Stiglic, S Kocbek, I Pernek, P Kokol
PloS one 7 (3), e33812, 2012
Interpretability of machine learning based prediction models in healthcare
G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar
arXiv preprint arXiv:2002.08596, 2020
Interpretability of machine learning based prediction models in healthcare
G Stiglic, P Kocbek, N Fijacko, M Zitnik, K Verbert, L Cilar
WIREs Data Mining and Knowledge Discovery 10 (5), e1379, 2020
The concept of Watson’s carative factors in nursing and their (dis) harmony with patient satisfaction
M Pajnkihar, G Štiglic, D Vrbnjak
PeerJ 5, e2940, 2017
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
Recognizing the intensity of strength training exercises with wearable sensors
I Pernek, G Kurillo, G Stiglic, R Bajcsy
Journal of biomedical informatics 58, 145-155, 2015
Fit for Practice: Analysis and Evaluation of Watson’s Theory of Human Caring
M Pajnkihar, HP McKenna, G Štiglic, D Vrbnjak
Nursing Science Quarterly 30 (3), 243-252, 2017
Emotional intelligence among nursing students: Findings from a cross-sectional study
G Štiglic, L Cilar, Ž Novak, D Vrbnjak, R Stenhouse, A Snowden, ...
Nurse education today 66, 33-38, 2018
Stability of ranked gene lists in large microarray analysis studies
G Stiglic, P Kokol
Journal of Biomedicine and Biotechnology 2010, 2010
Validation of the Finnish Diabetes Risk Score (FINDRISC) questionnaire for undiagnosed type 2 diabetes screening in the Slovenian working population
G Štiglic, N Fijačko, A Stožer, A Sheikh, M Pajnkihar
Diabetes Research and Clinical Practice 120, 194-197, 2016
Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults
HJ Kan, H Kharrazi, HY Chang, D Bodycombe, K Lemke, JP Weiner
PloS one 14 (3), e0213258, 2019
Estimating software quality with advanced data mining techniques
M Mertik, M Lenic, G Stiglic, P Kokol
Software Engineering Advances, International Conference on, 19-19, 2006
Frequency of nursing tasks in medical and surgical wards
B Farquharson, C Bell, D Johnston, M Jones, P Schofield, J Allan, ...
Journal of Nursing Management 21 (6), 860-866, 2013
Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features.
G Stiglic, BP Povalej, N Fijacko, F Wang, B Delibasic, A Kalousis, ...
PloS one 10 (12), e0144439, 2015
Online prediction of health care utilization in the next six months based on electronic health record information: a cohort and validation study
Z Hu, S Hao, B Jin, AY Shin, C Zhu, M Huang, Y Wang, L Zheng, D Dai, ...
Journal of medical Internet research 17 (9), e4976, 2015
Contrasting temporal trend discovery for large healthcare databases
G Hrovat, G Stiglic, P Kokol, M Ojsteršek
Computer methods and programs in biomedicine 113 (1), 251-257, 2014
Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest
M Krizmaric, M Verlic, G Stiglic, S Grmec, P Kokol
Computer methods and programs in biomedicine 95 (2), S22-S32, 2009
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
Domain knowledge based hierarchical feature selection for 30-day hospital readmission prediction
S Radovanovic, M Vukicevic, A Kovacevic, G Stiglic, Z Obradovic
Conference on Artificial Intelligence in Medicine in Europe, 96-100, 2015
Games-based learning
N Whitton
Springer, 2011
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