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2020 – today
- 2021
[j2]Nino Fijacko
, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic:
A Review of Mortality Risk Prediction Models in Smartphone Applications. J. Medical Syst. 45(12): 107 (2021)- 2020
- [j1]Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar:
Interpretability of machine learning-based prediction models in healthcare. WIREs Data Mining Knowl. Discov. 10(5) (2020) - [c3]Leona Cilar, Majda Pajnkihar, Gregor Stiglic:
Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization. ICDM 2020: 67-78 - [c2]Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic:
Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records. MIE 2020: 1273-1274 - [i2]Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar:
Interpretability of machine learning based prediction models in healthcare. CoRR abs/2002.08596 (2020) - [i1]Simon Kocbek, Primoz Kocbek, Leona Cilar, Gregor Stiglic:
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test. CoRR abs/2006.13815 (2020)
2010 – 2019
- 2019
- [c1]Leon Kopitar, Leona Cilar, Primoz Kocbek, Gregor Stiglic:
Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening. KR4HC/ProHealth/TEAAM@AIME 2019: 108-119
Coauthor Index
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