Primoz Kocbek

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Prediction Model

Machine Learning

Scientific Literature

Top Venues

KR4HC/ProHealth/TEAAM@AIME

WIREs Data Mining Knowl. Discov.

Publications

Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR (2023)
Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study. AIME (2022)
Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek
Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. ICHI (2022)
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) (2021)
Simon Kocbek, Primoz Kocbek, Leona Cilar, Gregor Stiglic
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test. CoRR (2020)
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)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
Interpretability of machine learning based prediction models in healthcare. CoRR (2020)
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)
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Comput. Math. Methods Medicine 2019 (2019)
Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. ICONIP (4) (2019)
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)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Aziz Sheikh, Majda Pajnkihar
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. Health Informatics J. 25 (3) (2019)