Zeljko Kraljevic

According to our database, Zeljko Kraljevic authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

2024

Natural language processing data services for healthcare providers.

Joshua Au Yeung, Anthony Shek, Thomas Searle, Zeljko Kraljevic, Vlad Dinu, Mart Ratas, Mohammad Al-Agil, Aleksandra Foy, Barbara Rafferty, Vitaliy Oliynyk, James T. Teo

BMC Medical Informatics Decis. Mak., December, 2024

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies.

Marco Postiglione, Daniel Bean, Zeljko Kraljevic, Richard J. B. Dobson, Vincenzo Moscato

IEEE J. Biomed. Health Informatics, July, 2024

Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper.

Lovre Torbarina, Tin Ferkovic, Lukasz Roguski, Velimir Mihelcic, Bruno Sarlija, Zeljko Kraljevic

Nat. Lang. Process. J., 2024

Large Language Models for Medical Forecasting - Foresight 2.

Zeljko Kraljevic, Joshua Au Yeung, Daniel Bean, James T. Teo, Richard J. B. Dobson

CoRR, 2024

2023

AI chatbots not yet ready for clinical use.

Joshua Au Yeung, Zeljko Kraljevic, Akish Luintel, Alfred Balston, Esther Idowu, Richard J. B. Dobson, James T. Teo

Frontiers Digit. Health, March, 2023

Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey.

Lovre Torbarina, Tin Ferkovic, Lukasz Roguski, Velimir Mihelcic, Bruno Sarlija, Zeljko Kraljevic

CoRR, 2023

Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.

Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Haris Shuaib, Mohammad Al-Agil, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

IEEE J. Biomed. Health Informatics, 2022

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records.

Zeljko Kraljevic, Daniel Bean, Anthony Shek, Rebecca Bendayan, Joshua Au Yeung, Alexander Deng, Alfie Baston, Jack Ross, Esther Idowu, James T. Teo, Richard J. B. Dobson

CoRR, 2022

CogStack Cohort at TREC 2022 Clinical Trials Track.

Jack Wu, Zeljko Kraljevic, Thomas Searle, Daniel Bean, Richard J. B. Dobson

Proceedings of the Thirty-First Text REtrieval Conference, 2022

2021

MedGPT: Medical Concept Prediction from Clinical Narratives.

Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James T. Teo, Richard J. B. Dobson

CoRR, 2021

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.

Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

Artif. Intell. Medicine, 2021

Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis.

Lovre Torbarina, Velimir Mihelcic, Bruno Sarlija, Lukasz Roguski, Zeljko Kraljevic

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

2020

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

CoRR, 2020

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR.

Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson

CoRR, 2020

Comparative Analysis of Text Classification Approaches in Electronic Health Records.

Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard J. B. Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019

MedCAT - Medical Concept Annotation Tool.

Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard J. B. Dobson

CoRR, 2019

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation.

Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard J. B. Dobson

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Représentation temporelle des mots : application au clustering de micro-blogs.

Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016