Zina M. Ibrahim

According to our database, Zina M. Ibrahim authored at least 45 papers between 2004 and 2024.

Collaborative distances:

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

2024

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.

Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim

CoRR, 2024

TSI-Bench: Benchmarking Time Series Imputation.

Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen

CoRR, 2024

Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation.

Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson

CoRR, 2024

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation.

Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson

CoRR, 2024

2023

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

J. Biomed. Informatics, May, 2023

Knowledge Enhanced Conditional Imputation for Healthcare Time-series.

Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson

CoRR, 2023

Exploring Multimodal Large Language Models for Radiology Report Error-checking.

Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu

CoRR, 2023

Addressing Class Imbalance in Electronic Health Records Data Imputation.

Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 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

GEOexplorer: a webserver for gene expression analysis and visualisation.

Guy P. Hunt, Luigi Grassi, Rafael Henkin, Fabrizio Smeraldi, Thomas P. Spargo, Renata Kabiljo, Sulev Koks, Zina M. Ibrahim, Richard J. B. Dobson, Ammar Al-Chalabi, Michael R. Barnes, Alfredo Iacoangeli

Nucleic Acids Res., 2022

Evaluating physical urban features in several mental illnesses using electronic health record data.

Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, Angus Roberts, Philip K. McGuire, Zina M. Ibrahim, Rashmi Patel

Frontiers Digit. Health, 2022

Summarisation of Electronic Health Records with Clinical Concept Guidance.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

CoRR, 2022

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation.

Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Estimating redundancy in clinical text.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

J. Biomed. Informatics, 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.

Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie

J. Am. Medical Informatics Assoc., 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

2020

On classifying sepsis heterogeneity in the ICU: insight using machine learning.

Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi

J. Am. Medical Informatics Assoc., 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

The side effect profile of Clozapine in real world data of three large mental hospitals.

Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew T. W. Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard J. B. Dobson, Zina M. Ibrahim

CoRR, 2020

Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech.

Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units.

Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset.

Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson

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

2019

Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.

Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow

CoRR, 2019

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention.

Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Emre Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson

J. Am. Medical Informatics Assoc., 2018

2017

Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses.

Christopher Ormandy, Zina M. Ibrahim, Richard J. B. Dobson

Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Improving RNN with Attention and Embedding for Adverse Drug Reactions.

Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson

Proceedings of the 2017 International Conference on Digital Health, 2017

2016

Encoding Medication Episodes for Adverse Drug Event Prediction.

Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Category-Driven Association Rule Mining.

Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015

The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks.

Zina M. Ibrahim, Alioune Ngom

BMC Bioinform., 2015

A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback.

Zina M. Ibrahim, Lorena Fernández de la Cruz, Argyris K. Stringaris, Robert Goodman, Michael Luck, Richard J. B. Dobson

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions.

Zina M. Ibrahim, Robbie Mallah, Richard J. B. Dobson

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013

Detecting epistasis in the presence of linkage disequilibrium: A focused comparison.

Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

2011

Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks.

Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010

A Surprise-Based Qualitative Probability Calculus II.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs.

Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

A Surprise-based Qualitative Calculus.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Surprise-Based Qualitative Probabilistic Networks.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Qualitative Motif Detection in Gene Regulatory Networks.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Qualitative Hidden Markov Models for Classifying Gene Expression Data.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the Research and Development in Intelligent Systems XXV, 2008

2007

An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus.

Zina M. Ibrahim, Ahmed Y. Tawfik

Proceedings of the Abstraction, 2007

A Qualitative Hidden Markov Model for Spatio-temporal Reasoning.

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2005

A Qualitative Spatio-temporal Abstraction of a Disaster Space.

Zina M. Ibrahim, Ahmed Y. Tawfik

Proceedings of the Abstraction, 2005

2004

Spatio-temporal Reasoning for Vague Regions.

Zina M. Ibrahim, Ahmed Y. Tawfik

Proceedings of the Advances in Artificial Intelligence, 2004