Slovenščina
English
Primož Kocbek, BSc. Math.
Researcher
- Research Institute, Faculty of Health Sciences UM
- primoz.kocbek@um.si
- Researcher code
- 50733
Scientific publications
- Kopitar L., Cilar L., Kocbek P. and Stiglic G. (2020): Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening.
- Poza J., Kocbek P., Fijacko N., Soguero-Ruiz C., Mikalsen K. O., Maver U., Povalej Brzan P., Stozer A., Jenssen R., Skrøvseth S. O. and Striglic G. (2019): Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.
- Kocbek S., Kocbek P., Stozer A., Zupanic T., Groza T. and Stiglic G. (2018): Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records.
- Stiglic G., Kocbek P., Fijacko N., Sheikh A. and Pajnkihar M. (2017): 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.
Knowledge and unpatented technologies
Improving the comprehensibility and predictive capacity of models for risk assessment and decision-making support in clinical environments – Research conducted as part of joint Flemish-Slovenian projects headed by the Flemish Research Foundation (FWL).
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