Primoz Kocbek

According to our database, Primoz Kocbek authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.

Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian

CoRR, 2023

2022

Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare.

Gregor Stiglic, Kasandra Musovic, Lucija Gosak, Nino Fijacko, Primoz Kocbek

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study.

Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

A Review of Mortality Risk Prediction Models in Smartphone Applications.

Nino Fijacko, Ruth Masterson Creber, Lucija Gosak, Primoz Kocbek, Leona Cilar, Peter Creber, Gregor Stiglic

J. Medical Syst., 2021

2020

Interpretability of machine learning-based prediction models in healthcare.

Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar

WIREs Data Mining Knowl. Discov., 2020

Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test.

Simon Kocbek, Primoz Kocbek, Leona Cilar, Gregor Stiglic

CoRR, 2020

Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records.

Nino Fijacko, Lucija Gosak, Primoz Kocbek, Leona Cilar, Andrej Markota, Gregor Stiglic

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

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.

Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Aziz Sheikh, Majda Pajnkihar

Health Informatics J., 2019

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.

Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic

Comput. Math. Methods Medicine, 2019

Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients.

Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening.

Leon Kopitar, Leona Cilar, Primoz Kocbek, Gregor Stiglic

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019